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No files matched your search
@@ -159,7 +159,7 @@ jobs:
|
||||
fi
|
||||
|
||||
- name: Install Homebrew packages
|
||||
run: brew install just awscli macmon
|
||||
run: brew install just awscli
|
||||
|
||||
- name: Install UV
|
||||
uses: astral-sh/setup-uv@v6
|
||||
@@ -243,6 +243,14 @@ jobs:
|
||||
# Build the bundle
|
||||
# ============================================================
|
||||
|
||||
- name: Add pinned macmon to PATH
|
||||
run: |
|
||||
MACMON_DIR=$(nix develop --command sh -c 'dirname $(which macmon)')
|
||||
echo "Using macmon from: $MACMON_DIR"
|
||||
echo "$MACMON_DIR" >> $GITHUB_PATH
|
||||
# Remove any Homebrew macmon so PyInstaller can't accidentally pick it up
|
||||
brew uninstall macmon 2>/dev/null || true
|
||||
|
||||
- name: Build PyInstaller bundle
|
||||
run: uv run pyinstaller packaging/pyinstaller/exo.spec
|
||||
|
||||
|
||||
@@ -2396,7 +2396,7 @@ def degrees(a: array, /, *, stream: Stream | Device | None = ...) -> array:
|
||||
array: The angles in degrees.
|
||||
"""
|
||||
|
||||
def depends(inputs: array | Sequence[array], dependencies: array | Sequence[array]):
|
||||
def depends[T](inputs: T, dependencies: array | Sequence[array]) -> T:
|
||||
"""
|
||||
Insert dependencies between arrays in the graph. The outputs are
|
||||
identical to ``inputs`` but with dependencies on ``dependencies``.
|
||||
|
||||
@@ -1,9 +1,5 @@
|
||||
"""
|
||||
This type stub file was generated by pyright.
|
||||
"""
|
||||
|
||||
from layers import *
|
||||
from utils import *
|
||||
from .layers import *
|
||||
from .utils import *
|
||||
|
||||
from . import init as init
|
||||
from . import losses as losses
|
||||
@@ -1,20 +1,16 @@
|
||||
"""
|
||||
This type stub file was generated by pyright.
|
||||
"""
|
||||
|
||||
from activations import *
|
||||
from base import *
|
||||
from containers import *
|
||||
from convolution import *
|
||||
from convolution_transpose import *
|
||||
from distributed import *
|
||||
from dropout import *
|
||||
from embedding import *
|
||||
from linear import *
|
||||
from normalization import *
|
||||
from pooling import *
|
||||
from positional_encoding import *
|
||||
from quantized import *
|
||||
from recurrent import *
|
||||
from transformer import *
|
||||
from upsample import *
|
||||
from .activations import *
|
||||
from .base import *
|
||||
from .containers import *
|
||||
from .convolution import *
|
||||
from .convolution_transpose import *
|
||||
from .distributed import *
|
||||
from .dropout import *
|
||||
from .embedding import *
|
||||
from .linear import *
|
||||
from .normalization import *
|
||||
from .pooling import *
|
||||
from .positional_encoding import *
|
||||
from .quantized import *
|
||||
from .recurrent import *
|
||||
from .transformer import *
|
||||
from .upsample import *
|
||||
@@ -53,7 +53,7 @@ class Module(dict):
|
||||
mx.eval(model.parameters())
|
||||
"""
|
||||
|
||||
__call__: Callable
|
||||
def __call__(self, *args: Any, **kwargs: Any) -> mx.array: ...
|
||||
def __init__(self) -> None:
|
||||
"""Should be called by the subclasses of ``Module``."""
|
||||
|
||||
|
||||
@@ -30,7 +30,7 @@ def str2bool(string): # -> bool:
|
||||
def setup_arg_parser(): # -> ArgumentParser:
|
||||
"""Set up and return the argument parser."""
|
||||
|
||||
generation_stream = ...
|
||||
generation_stream: mx.Stream
|
||||
|
||||
@contextlib.contextmanager
|
||||
def wired_limit(
|
||||
@@ -266,12 +266,12 @@ def _merge_caches(caches: Any) -> List[Any]: ...
|
||||
class Batch:
|
||||
uids: List[int]
|
||||
y: mx.array
|
||||
logprobs: mx.array
|
||||
logprobs: List[mx.array] | mx.array
|
||||
max_tokens: List[int]
|
||||
num_tokens: List[int]
|
||||
cache: List[Any]
|
||||
samplers: List[Any]
|
||||
logits_processors: List[Any]
|
||||
samplers: List[Callable[[mx.array], mx.array] | None]
|
||||
logits_processors: List[List[Callable[[mx.array, mx.array], mx.array]]]
|
||||
tokens: List[mx.array]
|
||||
def __len__(self) -> int: ...
|
||||
def filter(self, keep_idx: List[int]) -> None: ...
|
||||
@@ -279,13 +279,18 @@ class Batch:
|
||||
def extract_cache(self, idx: int) -> List[Any]: ...
|
||||
|
||||
class BatchGenerator:
|
||||
model: Any
|
||||
model: nn.Module
|
||||
sampler: Callable[[mx.array], mx.array]
|
||||
stop_tokens: set[int]
|
||||
max_kv_size: Optional[int]
|
||||
prefill_step_size: int
|
||||
completion_batch_size: int
|
||||
prefill_batch_size: int
|
||||
unprocessed_prompts: List[Any]
|
||||
active_batch: Optional[Batch]
|
||||
prompt_progress_callback: Callable[[List[Tuple[int, int, int]]], None]
|
||||
_stats: BatchStats
|
||||
_next_count: int
|
||||
|
||||
@dataclass
|
||||
class Response:
|
||||
|
||||
@@ -88,8 +88,8 @@ def create_attention_mask(
|
||||
) -> array | Literal["causal"] | None: ...
|
||||
|
||||
class _BaseCache(Cache):
|
||||
keys: mx.array
|
||||
values: mx.array
|
||||
keys: mx.array | None
|
||||
values: mx.array | None
|
||||
offset: int
|
||||
@property
|
||||
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
|
||||
@@ -268,29 +268,14 @@ class CacheList(_BaseCache):
|
||||
"""
|
||||
|
||||
class BatchKVCache(_BaseCache):
|
||||
step = ...
|
||||
def __init__(self, left_padding: List[int]) -> None:
|
||||
"""
|
||||
The BatchKV cache expects inputs to be left-padded.
|
||||
|
||||
E.g. the following prompts:
|
||||
|
||||
[1, 3, 5]
|
||||
[7]
|
||||
[2, 6, 8, 9]
|
||||
|
||||
Should be padded like so:
|
||||
|
||||
[0, 1, 3, 5]
|
||||
[0, 0, 0, 7]
|
||||
[2, 6, 8, 9]
|
||||
|
||||
And ``left_padding`` specifies the amount of padding for each.
|
||||
In this case, ``left_padding = [1, 3, 0]``.
|
||||
"""
|
||||
|
||||
def update_and_fetch(self, keys, values): # -> tuple[array | Any, array | Any]:
|
||||
...
|
||||
step: int
|
||||
keys: array | None
|
||||
values: array | None
|
||||
offset: array
|
||||
left_padding: array
|
||||
_idx: int
|
||||
def __init__(self, left_padding: List[int]) -> None: ...
|
||||
def update_and_fetch(self, keys: array, values: array) -> tuple[array, array]: ...
|
||||
@property
|
||||
def state(
|
||||
self,
|
||||
@@ -316,12 +301,21 @@ class BatchKVCache(_BaseCache):
|
||||
"""
|
||||
|
||||
class BatchRotatingKVCache(_BaseCache):
|
||||
step = ...
|
||||
def __init__(self, max_size, left_padding: List[int]) -> None: ...
|
||||
def update_and_fetch(
|
||||
self, keys, values
|
||||
): # -> tuple[array | Any, array | Any] | tuple[array | Any, array | Any | None]:
|
||||
...
|
||||
step: int
|
||||
keys: array | None
|
||||
values: array | None
|
||||
offset: array
|
||||
left_padding: array
|
||||
max_size: int
|
||||
_idx: int
|
||||
_offset: int
|
||||
rotated: bool
|
||||
_lengths: array | None
|
||||
def __init__(self, max_size: int, left_padding: List[int]) -> None: ...
|
||||
def _trim(self, trim_size: int, v: array, append: array | None = ...) -> array: ...
|
||||
def _update_in_place(self, keys: array, values: array) -> tuple[array, array]: ...
|
||||
def _update_concat(self, keys: array, values: array) -> tuple[array, array]: ...
|
||||
def update_and_fetch(self, keys: array, values: array) -> tuple[array, array]: ...
|
||||
@property
|
||||
def state(
|
||||
self,
|
||||
|
||||
@@ -0,0 +1,35 @@
|
||||
from typing import Optional
|
||||
|
||||
import mlx.core as mx
|
||||
|
||||
def compute_g(A_log: mx.array, a: mx.array, dt_bias: mx.array) -> mx.array: ...
|
||||
def gated_delta_update(
|
||||
q: mx.array,
|
||||
k: mx.array,
|
||||
v: mx.array,
|
||||
a: mx.array,
|
||||
b: mx.array,
|
||||
A_log: mx.array,
|
||||
dt_bias: mx.array,
|
||||
state: Optional[mx.array] = ...,
|
||||
mask: Optional[mx.array] = ...,
|
||||
use_kernel: bool = ...,
|
||||
) -> tuple[mx.array, mx.array]: ...
|
||||
def gated_delta_ops(
|
||||
q: mx.array,
|
||||
k: mx.array,
|
||||
v: mx.array,
|
||||
g: mx.array,
|
||||
beta: mx.array,
|
||||
state: Optional[mx.array] = ...,
|
||||
mask: Optional[mx.array] = ...,
|
||||
) -> tuple[mx.array, mx.array]: ...
|
||||
def gated_delta_kernel(
|
||||
q: mx.array,
|
||||
k: mx.array,
|
||||
v: mx.array,
|
||||
g: mx.array,
|
||||
beta: mx.array,
|
||||
state: mx.array,
|
||||
mask: Optional[mx.array] = ...,
|
||||
) -> tuple[mx.array, mx.array]: ...
|
||||
@@ -0,0 +1,51 @@
|
||||
from typing import Any, Optional
|
||||
|
||||
import mlx.nn as nn
|
||||
|
||||
class YarnRoPE(nn.Module):
|
||||
def __init__(
|
||||
self,
|
||||
dims: int,
|
||||
traditional: bool = ...,
|
||||
max_position_embeddings: int = ...,
|
||||
base: float = ...,
|
||||
scaling_factor: float = ...,
|
||||
original_max_position_embeddings: int = ...,
|
||||
beta_fast: float = ...,
|
||||
beta_slow: float = ...,
|
||||
mscale: float = ...,
|
||||
mscale_all_dim: float = ...,
|
||||
) -> None: ...
|
||||
|
||||
class Llama3RoPE(nn.Module):
|
||||
def __init__(
|
||||
self,
|
||||
dims: int,
|
||||
traditional: bool = ...,
|
||||
max_position_embeddings: int = ...,
|
||||
base: float = ...,
|
||||
scaling_factor: float = ...,
|
||||
original_max_position_embeddings: int = ...,
|
||||
low_freq_factor: float = ...,
|
||||
high_freq_factor: float = ...,
|
||||
) -> None: ...
|
||||
|
||||
class SuScaledRoPE(nn.Module):
|
||||
def __init__(
|
||||
self,
|
||||
dims: int,
|
||||
traditional: bool = ...,
|
||||
max_position_embeddings: int = ...,
|
||||
base: float = ...,
|
||||
short_factor: Any = ...,
|
||||
long_factor: Any = ...,
|
||||
original_max_position_embeddings: int = ...,
|
||||
) -> None: ...
|
||||
|
||||
def initialize_rope(
|
||||
dims: int,
|
||||
base: float = ...,
|
||||
traditional: bool = ...,
|
||||
scaling_config: Optional[dict[str, Any]] = ...,
|
||||
max_position_embeddings: Optional[int] = ...,
|
||||
) -> nn.Module: ...
|
||||
Whitespace-only changes.
@@ -0,0 +1,12 @@
|
||||
from typing import Any
|
||||
|
||||
def get_message_json(
|
||||
model_name: str,
|
||||
prompt: str,
|
||||
role: str = "user",
|
||||
skip_image_token: bool = False,
|
||||
skip_audio_token: bool = False,
|
||||
num_images: int = 0,
|
||||
num_audios: int = 0,
|
||||
**kwargs: Any,
|
||||
) -> dict[str, Any]: ...
|
||||
@@ -0,0 +1,15 @@
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
class ImageProcessor:
|
||||
def preprocess(
|
||||
self, images: list[dict[str, Any]], **kwargs: Any
|
||||
) -> dict[str, Any]: ...
|
||||
def __call__(self, **kwargs: Any) -> dict[str, Any]: ...
|
||||
|
||||
def load_image_processor(
|
||||
model_path: str | Path, **kwargs: Any
|
||||
) -> ImageProcessor | None: ...
|
||||
def load_processor(
|
||||
model_path: str | Path, add_detokenizer: bool = ..., **kwargs: Any
|
||||
) -> ImageProcessor: ...
|
||||
@@ -0,0 +1,8 @@
|
||||
from typing import Any, Self
|
||||
|
||||
class safe_open:
|
||||
def __init__(self, filename: str, framework: str = "pt") -> None: ...
|
||||
def __enter__(self) -> Self: ...
|
||||
def __exit__(self, *args: Any) -> None: ...
|
||||
def keys(self) -> list[str]: ...
|
||||
def get_tensor(self, name: str) -> Any: ...
|
||||
+11
-2
@@ -11,9 +11,18 @@ To run EXO from source:
|
||||
```bash
|
||||
brew install uv
|
||||
```
|
||||
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
|
||||
- [rust](https://github.com/rust-lang/rustup) (to build Rust bindings, nightly for now)
|
||||
```bash
|
||||
brew install macmon
|
||||
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
|
||||
rustup toolchain install nightly
|
||||
```
|
||||
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
|
||||
Use the pinned fork revision used by this repo instead of Homebrew `macmon`.
|
||||
```bash
|
||||
cargo install --git https://github.com/swiftraccoon/macmon \
|
||||
--rev 9154d234f763fbeffdcb4135d0bbbaf80609699b \
|
||||
macmon \
|
||||
--force
|
||||
```
|
||||
|
||||
```bash
|
||||
|
||||
@@ -95,11 +95,10 @@ Then restart the Nix daemon: `sudo launchctl kickstart -k system/org.nixos.nix-d
|
||||
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
|
||||
```
|
||||
- [uv](https://github.com/astral-sh/uv) (for Python dependency management)
|
||||
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
|
||||
- [node](https://github.com/nodejs/node) (for building the dashboard)
|
||||
|
||||
```bash
|
||||
brew install uv macmon node
|
||||
brew install uv node
|
||||
```
|
||||
- [rust](https://github.com/rust-lang/rustup) (to build Rust bindings, nightly for now)
|
||||
|
||||
@@ -107,6 +106,17 @@ Then restart the Nix daemon: `sudo launchctl kickstart -k system/org.nixos.nix-d
|
||||
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
|
||||
rustup toolchain install nightly
|
||||
```
|
||||
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
|
||||
|
||||
Install the pinned fork revision used by this repo instead of Homebrew `macmon`.
|
||||
Homebrew `macmon 0.6.1` still crashes on Apple M5.
|
||||
|
||||
```bash
|
||||
cargo install --git https://github.com/swiftraccoon/macmon \
|
||||
--rev 9154d234f763fbeffdcb4135d0bbbaf80609699b \
|
||||
macmon \
|
||||
--force
|
||||
```
|
||||
|
||||
Clone the repo, build the dashboard, and run exo:
|
||||
|
||||
@@ -285,8 +295,9 @@ exo supports several environment variables for configuration:
|
||||
|
||||
| Variable | Description | Default |
|
||||
|----------|-------------|---------|
|
||||
| `EXO_MODELS_PATH` | Colon-separated paths to search for pre-downloaded models (e.g., on NFS mounts or shared storage) | None |
|
||||
| `EXO_MODELS_DIR` | Directory where exo downloads and stores models | `~/.local/share/exo/models` (Linux) or `~/.exo/models` (macOS) |
|
||||
| `EXO_DEFAULT_MODELS_DIR` | Default directory for model downloads and caches. Always first in the writable dirs list. | `~/.local/share/exo/models` (Linux) or `~/.exo/models` (macOS) |
|
||||
| `EXO_MODELS_DIRS` | Colon-separated additional writable directories for model downloads. Checked in order after the default; first with enough free space is used. | None |
|
||||
| `EXO_MODELS_READ_ONLY_DIRS` | Colon-separated read-only directories to search for pre-downloaded models (e.g., NFS mounts, shared storage). Models here cannot be deleted. | None |
|
||||
| `EXO_OFFLINE` | Run without internet connection (uses only local models) | `false` |
|
||||
| `EXO_ENABLE_IMAGE_MODELS` | Enable image model support | `false` |
|
||||
| `EXO_LIBP2P_NAMESPACE` | Custom namespace for cluster isolation | None |
|
||||
@@ -296,8 +307,11 @@ exo supports several environment variables for configuration:
|
||||
**Example usage:**
|
||||
|
||||
```bash
|
||||
# Use pre-downloaded models from NFS mount
|
||||
EXO_MODELS_PATH=/mnt/nfs/models:/opt/ai-models uv run exo
|
||||
# Use pre-downloaded models from NFS mount (read-only)
|
||||
EXO_MODELS_READ_ONLY_DIRS=/mnt/nfs/models:/opt/ai-models uv run exo
|
||||
|
||||
# Download models to an external SSD (falls back to default dir if full)
|
||||
EXO_MODELS_DIRS=/Volumes/ExternalSSD/exo-models uv run exo
|
||||
|
||||
# Run in offline mode
|
||||
EXO_OFFLINE=true uv run exo
|
||||
|
||||
@@ -4,6 +4,7 @@ import Foundation
|
||||
|
||||
private let customNamespaceKey = "EXOCustomNamespace"
|
||||
private let hfTokenKey = "EXOHFToken"
|
||||
private let hfEndpointKey = "EXOHFEndpoint"
|
||||
private let enableImageModelsKey = "EXOEnableImageModels"
|
||||
private let offlineModeKey = "EXOOfflineMode"
|
||||
private let onboardingCompletedKey = "EXOOnboardingCompleted"
|
||||
@@ -53,6 +54,14 @@ final class ExoProcessController: ObservableObject {
|
||||
UserDefaults.standard.set(hfToken, forKey: hfTokenKey)
|
||||
}
|
||||
}
|
||||
@Published var hfEndpoint: String = {
|
||||
return UserDefaults.standard.string(forKey: hfEndpointKey) ?? ""
|
||||
}()
|
||||
{
|
||||
didSet {
|
||||
UserDefaults.standard.set(hfEndpoint, forKey: hfEndpointKey)
|
||||
}
|
||||
}
|
||||
@Published var enableImageModels: Bool = {
|
||||
return UserDefaults.standard.bool(forKey: enableImageModelsKey)
|
||||
}()
|
||||
@@ -273,6 +282,9 @@ final class ExoProcessController: ObservableObject {
|
||||
if !hfToken.isEmpty {
|
||||
environment["HF_TOKEN"] = hfToken
|
||||
}
|
||||
if !hfEndpoint.isEmpty {
|
||||
environment["HF_ENDPOINT"] = hfEndpoint
|
||||
}
|
||||
if enableImageModels {
|
||||
environment["EXO_ENABLE_IMAGE_MODELS"] = "true"
|
||||
}
|
||||
|
||||
@@ -12,6 +12,7 @@ struct SettingsView: View {
|
||||
|
||||
@State private var pendingNamespace: String = ""
|
||||
@State private var pendingHFToken: String = ""
|
||||
@State private var pendingHFEndpoint: String = ""
|
||||
@State private var pendingEnableImageModels = false
|
||||
@State private var pendingOfflineMode = false
|
||||
@State private var needsRestart = false
|
||||
@@ -42,6 +43,7 @@ struct SettingsView: View {
|
||||
.onAppear {
|
||||
pendingNamespace = controller.customNamespace
|
||||
pendingHFToken = controller.hfToken
|
||||
pendingHFEndpoint = controller.hfEndpoint
|
||||
pendingEnableImageModels = controller.enableImageModels
|
||||
pendingOfflineMode = controller.offlineMode
|
||||
needsRestart = false
|
||||
@@ -74,6 +76,17 @@ struct SettingsView: View {
|
||||
.foregroundColor(.secondary)
|
||||
}
|
||||
|
||||
Section {
|
||||
LabeledContent("HuggingFace Endpoint") {
|
||||
TextField("default", text: $pendingHFEndpoint)
|
||||
.textFieldStyle(.roundedBorder)
|
||||
.frame(width: 200)
|
||||
}
|
||||
Text("Defaults to huggingface.co. Use a mirror (e.g. hf-mirror.com) for China.")
|
||||
.font(.caption)
|
||||
.foregroundColor(.secondary)
|
||||
}
|
||||
|
||||
Section {
|
||||
Toggle("Offline Mode", isOn: $pendingOfflineMode)
|
||||
Text("Skip internet checks and use only locally available models.")
|
||||
@@ -454,6 +467,7 @@ struct SettingsView: View {
|
||||
|
||||
private var hasGeneralChanges: Bool {
|
||||
pendingNamespace != controller.customNamespace || pendingHFToken != controller.hfToken
|
||||
|| pendingHFEndpoint != controller.hfEndpoint
|
||||
|| pendingOfflineMode != controller.offlineMode
|
||||
}
|
||||
|
||||
@@ -464,6 +478,7 @@ struct SettingsView: View {
|
||||
private func applyGeneralSettings() {
|
||||
controller.customNamespace = pendingNamespace
|
||||
controller.hfToken = pendingHFToken
|
||||
controller.hfEndpoint = pendingHFEndpoint
|
||||
controller.offlineMode = pendingOfflineMode
|
||||
restartIfRunning()
|
||||
}
|
||||
|
||||
@@ -0,0 +1,152 @@
|
||||
# Exo-Bench — Methodology
|
||||
|
||||
exo bench measures inference throughput and resource consumption of an exo cluster under controlled conditions. It sends prompts to the `/bench/chat/completions` endpoint, collects server-reported timing statistics, and records system-level metrics (power, GPU utilisation, temperature) throughout each run.
|
||||
|
||||
The goal is to have accurate, transparent and reproducible numbers to compare speed and scaling across different models and different setups, and to be able to track these results as optimizations and features are added to EXO.
|
||||
|
||||
Below is a technical summary of how Exo-Bench works. While the methodology and benchmark may change over time, this document will be kept up to date whenever this happens. If you find an issue with the methodology, or would like a feature to be added, please open a GitHub issue!
|
||||
|
||||
---
|
||||
|
||||
## Prompt Construction
|
||||
|
||||
Benchmarks need prompts of an exact token length. Unfortunately, we do not have direct access to the model but just the chat completion endpoint. To get around this fact, we create a request that will tokenise to a certain prompt length.
|
||||
|
||||
This is achieved by:
|
||||
|
||||
1. Tokenising a sample message through the model's `apply_chat_template()` to measure overhead (system tokens, special tokens, chat formatting).
|
||||
2. Binary-searching over a repeated atom string (default `"a "`) to find the content length that produces exactly the target number of tokens after template expansion.
|
||||
3. Returning both the content string and the verified token count.
|
||||
|
||||
The actual token count is recorded in every result row as `pp_tokens`, so downstream analysis can confirm the prompt hit its target.
|
||||
|
||||
Chat template formatting means that it may be impossible to attain very small pp benchmarks. e.g. pp=32 may not work. This tradeoff was made because the result of such a small prompt does not seem very interesting or useful for any real-world use cases.
|
||||
|
||||
---
|
||||
|
||||
## Bench Endpoint
|
||||
|
||||
When a request reaches the server via the `/bench/chat/completions` endpoint, three things change compared to a normal chat completion:
|
||||
|
||||
- **KV prefix cache is disabled**. Every request starts from a cold cache, ensuring prefill timing is not affected by prior requests.
|
||||
- **EOS tokens are banned**. A logits processor suppresses all end-of-sequence tokens, forcing the model to generate exactly `max_tokens` tokens. This guarantees consistent generation length for fair TPS comparison — the model cannot short-circuit a run by stopping early.
|
||||
- **No model output parsing**. The bench collection path concatenates raw token text without any model-specific post-processing (thinking tag extraction, structured output handling, etc.). This is to avoid model outputs such as tool parsing or any structural mistakes from breaking the benchmark - we are testing for speed; see Exo-Eval for performance metrics.
|
||||
|
||||
---
|
||||
|
||||
## Timing
|
||||
|
||||
### Prefill TPS
|
||||
|
||||
Measured server-side per task.
|
||||
|
||||
```
|
||||
prefill_tps = num_prompt_tokens / prefill_wall_seconds
|
||||
```
|
||||
|
||||
### Generation TPS
|
||||
|
||||
Measured server-side per task. Each task records wall-clock timestamps as tokens arrive:
|
||||
|
||||
- First generated token: timestamp recorded
|
||||
- Every subsequent token: timestamp updated
|
||||
|
||||
When generation completes:
|
||||
|
||||
```
|
||||
gen_span = last_token_time - first_token_time
|
||||
generation_tps = (completion_tokens - 1) / gen_span
|
||||
```
|
||||
|
||||
The first token is excluded from the numerator because the rate measures inter-token throughput — the time between the first and last token divided by the number of intervals.
|
||||
|
||||
This does mean that tg=1 will not work.
|
||||
|
||||
---
|
||||
|
||||
## Concurrency
|
||||
|
||||
### Single Request
|
||||
|
||||
The client records wall-clock `elapsed_s` around the HTTP round-trip (network latency + server prefill + generation + response serialisation). This is a convenience metric for end-to-end latency. The authoritative TPS numbers come from the server-side per-task timing in the `generation_stats` response.
|
||||
|
||||
### Concurrent Requests
|
||||
|
||||
When `--concurrency N` is set with N > 1, all N requests must hit the server at the same instant. The mechanism:
|
||||
|
||||
1. The prompt is built once and shared across all threads.
|
||||
2. Each thread gets its own HTTP connection.
|
||||
3. A thread barrier blocks all threads until every thread is ready.
|
||||
4. The first thread past the barrier records the batch start time and signals the others.
|
||||
5. All threads use the same start time as their reference, then fire their HTTP request.
|
||||
6. Each thread's `elapsed_s` is measured from the shared start time to its own response completion.
|
||||
|
||||
**Batch wall time** is the maximum `elapsed_s` across all N requests — the time until the last request finishes.
|
||||
|
||||
### Aggregate TPS
|
||||
|
||||
```
|
||||
per_req_tps = max(generation_tps across N concurrent requests)
|
||||
agg_gen_tps = per_req_tps * concurrency
|
||||
```
|
||||
|
||||
`max` is used instead of `mean` because all requests run in parallel against the same model. The fastest request's generation rate represents the system's per-stream throughput capacity; multiplying by concurrency gives aggregate throughput.
|
||||
|
||||
---
|
||||
|
||||
## Warmup
|
||||
|
||||
Before measurement begins, `--warmup N` (default: 0) discarded requests are sent using the first pp/tg pair. Warmup results are not included in the output.
|
||||
|
||||
---
|
||||
|
||||
## Compatibility Version
|
||||
|
||||
Each exo node reports a `benchCompat` version (e.g. `"0.3.69.1"`) — the exo release version plus a bench-specific revision. This tracks bench-relevant changes independently of the release cycle: timing methodology, stats format, endpoint behavior, etc.
|
||||
|
||||
Before benchmarking, exo bench checks every node's `benchCompat` against a supported range. If any node has an unknown or out-of-range version, the benchmark aborts. This prevents silently producing inaccurate results with incompatible nodes.
|
||||
|
||||
---
|
||||
|
||||
## System Metrics
|
||||
|
||||
A background thread polls each node at 1 Hz, collecting:
|
||||
|
||||
- GPU utilisation (%)
|
||||
- Temperature (C)
|
||||
- System power draw (W)
|
||||
- CPU cluster usage (performance and efficiency cores)
|
||||
|
||||
**Energy** is computed via trapezoidal integration of the power samples over each inference window (the wall-clock span of each benchmark request or concurrent batch). Average power is `total_joules / total_inference_seconds`.
|
||||
|
||||
---
|
||||
|
||||
## Output Format
|
||||
|
||||
Results are written as JSON with three top-level keys:
|
||||
|
||||
- **`runs`**: Array of per-request result objects, each containing:
|
||||
- `elapsed_s`, `output_text_preview` (first 200 chars)
|
||||
- `stats`: `{ prompt_tps, generation_tps, prompt_tokens, generation_tokens, peak_memory_usage }`
|
||||
- Placement metadata: `model_id`, `placement_sharding`, `placement_instance_meta`, `placement_nodes`
|
||||
- Run metadata: `pp_tokens`, `tg`, `repeat_index`, `concurrency`, `concurrent_index`
|
||||
- `download_duration_s` (if model was freshly downloaded)
|
||||
- **`cluster`**: Cluster state snapshot at time of benchmarking.
|
||||
- **`system_metrics`**: Per-node time-series samples (GPU, power, temperature).
|
||||
|
||||
---
|
||||
|
||||
## Reproducing Results
|
||||
|
||||
```bash
|
||||
cd bench && uv run python exo_bench.py \
|
||||
--model "mlx-community/Qwen3.5-27B-4bit" \
|
||||
--instance-meta jaccl \
|
||||
--sharding tensor \
|
||||
--min-nodes 2 --max-nodes 2 \
|
||||
--pp 512 4096 --tg 128 \
|
||||
--repeat 3 \
|
||||
--warmup 1
|
||||
```
|
||||
|
||||
Run --help for all the available flags.
|
||||
@@ -17,6 +17,7 @@ from harness import (
|
||||
ExoClient,
|
||||
ExoHttpError,
|
||||
add_common_instance_args,
|
||||
capture_cluster_snapshot,
|
||||
instance_id_from_instance,
|
||||
nodes_used_in_instance,
|
||||
resolve_model_short_id,
|
||||
@@ -1006,6 +1007,7 @@ Examples:
|
||||
sys.exit(1)
|
||||
|
||||
time.sleep(1)
|
||||
cluster_snapshot = capture_cluster_snapshot(exo)
|
||||
all_results: list[ScenarioResult] = []
|
||||
|
||||
try:
|
||||
@@ -1084,16 +1086,19 @@ Examples:
|
||||
print(f" - {r.name} [{r.api}/{r.phase}]: {r.error}", file=log)
|
||||
|
||||
json_results = [result_to_dict(r) for r in all_results]
|
||||
output: dict[str, Any] = {"results": json_results}
|
||||
if cluster_snapshot:
|
||||
output["cluster"] = cluster_snapshot
|
||||
|
||||
if args.stdout:
|
||||
print(json.dumps(json_results, indent=2))
|
||||
print(json.dumps(output, indent=2))
|
||||
else:
|
||||
json_path = args.json_out
|
||||
parent = os.path.dirname(json_path)
|
||||
if parent:
|
||||
os.makedirs(parent, exist_ok=True)
|
||||
with open(json_path, "w") as f:
|
||||
json.dump(json_results, f, indent=2)
|
||||
json.dump(output, f, indent=2)
|
||||
f.write("\n")
|
||||
print(f"\nJSON results written to {json_path}", file=log)
|
||||
|
||||
|
||||
+224
-15
@@ -22,6 +22,7 @@ import contextlib
|
||||
import itertools
|
||||
import json
|
||||
import sys
|
||||
import threading
|
||||
import time
|
||||
from collections.abc import Callable
|
||||
from concurrent.futures import ThreadPoolExecutor, as_completed
|
||||
@@ -33,7 +34,9 @@ from harness import (
|
||||
ExoClient,
|
||||
ExoHttpError,
|
||||
add_common_instance_args,
|
||||
capture_cluster_snapshot,
|
||||
instance_id_from_instance,
|
||||
node_ids_from_instance,
|
||||
nodes_used_in_instance,
|
||||
resolve_model_short_id,
|
||||
run_planning_phase,
|
||||
@@ -42,8 +45,14 @@ from harness import (
|
||||
wait_for_instance_ready,
|
||||
)
|
||||
from loguru import logger
|
||||
from packaging.version import InvalidVersion, Version
|
||||
from transformers import AutoTokenizer
|
||||
|
||||
from exo.shared.types.profiling import BENCH_COMPAT
|
||||
|
||||
MIN_BENCH_COMPAT = Version("0.3.69.1")
|
||||
MAX_BENCH_COMPAT = Version(BENCH_COMPAT)
|
||||
|
||||
# Monkey-patch for transformers 5.x compatibility
|
||||
# Kimi's tokenization_kimi.py imports bytes_to_unicode from the old location
|
||||
# which was moved in transformers 5.0.0rc2
|
||||
@@ -131,6 +140,91 @@ def format_peak_memory(b: float) -> str:
|
||||
raise ValueError("You're using petabytes of memory. Something went wrong...")
|
||||
|
||||
|
||||
_SAMPLER_METRICS = ("gpuUsage", "temp", "sysPower", "pcpuUsage", "ecpuUsage")
|
||||
|
||||
|
||||
class SystemMetricsSampler:
|
||||
def __init__(self, client: ExoClient, node_ids: list[str], interval_s: float = 1.0):
|
||||
self._client = client
|
||||
self._node_ids = node_ids
|
||||
self._interval_s = interval_s
|
||||
self._samples: dict[str, list[tuple[float, dict[str, float]]]] = {
|
||||
nid: [] for nid in node_ids
|
||||
}
|
||||
self._stop = threading.Event()
|
||||
self._thread: threading.Thread | None = None
|
||||
|
||||
def start(self) -> None:
|
||||
self._stop.clear()
|
||||
self._thread = threading.Thread(target=self._poll_loop, daemon=True)
|
||||
self._thread.start()
|
||||
|
||||
def stop(self) -> None:
|
||||
self._stop.set()
|
||||
if self._thread:
|
||||
self._thread.join(timeout=5)
|
||||
|
||||
def _poll_loop(self) -> None:
|
||||
while not self._stop.is_set():
|
||||
t = time.monotonic()
|
||||
for nid in self._node_ids:
|
||||
try:
|
||||
data = self._client.get_node_system(nid)
|
||||
if data:
|
||||
self._samples[nid].append(
|
||||
(t, {k: data.get(k, 0.0) for k in _SAMPLER_METRICS})
|
||||
)
|
||||
except Exception:
|
||||
pass
|
||||
self._stop.wait(self._interval_s)
|
||||
|
||||
def energy_between(self, t0: float, t1: float) -> float:
|
||||
total_joules = 0.0
|
||||
for _nid, samples in self._samples.items():
|
||||
window = [(t, s["sysPower"]) for t, s in samples if t0 <= t <= t1]
|
||||
if len(window) >= 2:
|
||||
for i in range(1, len(window)):
|
||||
dt = window[i][0] - window[i - 1][0]
|
||||
avg_power = (window[i][1] + window[i - 1][1]) / 2
|
||||
total_joules += avg_power * dt
|
||||
elif len(window) == 1:
|
||||
total_joules += window[0][1] * (t1 - t0)
|
||||
return total_joules
|
||||
|
||||
def summarize(self) -> dict[str, dict[str, dict[str, float]]]:
|
||||
result: dict[str, dict[str, dict[str, float]]] = {}
|
||||
for nid, samples in self._samples.items():
|
||||
if not samples:
|
||||
continue
|
||||
metrics: dict[str, dict[str, float]] = {}
|
||||
for key in _SAMPLER_METRICS:
|
||||
values = [s[key] for t, s in samples]
|
||||
metrics[key] = {
|
||||
"min": round(min(values), 2),
|
||||
"max": round(max(values), 2),
|
||||
"mean": round(mean(values), 2),
|
||||
"samples": len(values),
|
||||
}
|
||||
result[nid] = metrics
|
||||
return result
|
||||
|
||||
def print_summary(self, placement_label: str) -> None:
|
||||
summary = self.summarize()
|
||||
if not summary:
|
||||
return
|
||||
logger.info(f"--- System Metrics ({placement_label}) ---")
|
||||
for nid, metrics in summary.items():
|
||||
gpu = metrics.get("gpuUsage", {})
|
||||
temp = metrics.get("temp", {})
|
||||
power = metrics.get("sysPower", {})
|
||||
logger.info(
|
||||
f" {nid}: "
|
||||
f"GPU {gpu.get('mean', 0) * 100:.0f}% avg ({gpu.get('min', 0) * 100:.0f}–{gpu.get('max', 0) * 100:.0f}%) | "
|
||||
f"{temp.get('mean', 0):.1f}°C avg | "
|
||||
f"{power.get('mean', 0):.1f}W avg"
|
||||
)
|
||||
|
||||
|
||||
def parse_int_list(values: list[str]) -> list[int]:
|
||||
items: list[int] = []
|
||||
for v in values:
|
||||
@@ -279,6 +373,17 @@ def main() -> int:
|
||||
action="store_true",
|
||||
help="Force all pp×tg combinations (cartesian product) even when lists have equal length.",
|
||||
)
|
||||
ap.add_argument(
|
||||
"--no-system-metrics",
|
||||
action="store_true",
|
||||
help="Disable GPU utilization, temperature, and power collection during inference.",
|
||||
)
|
||||
ap.add_argument(
|
||||
"--metrics-interval",
|
||||
type=float,
|
||||
default=1.0,
|
||||
help="System metrics polling interval in seconds (default: 1.0).",
|
||||
)
|
||||
args = ap.parse_args()
|
||||
|
||||
pp_list = parse_int_list(args.pp)
|
||||
@@ -336,6 +441,7 @@ def main() -> int:
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
logger.info(f"exo-bench benchCompat={BENCH_COMPAT}")
|
||||
logger.debug(f"exo-bench model: short_id={short_id} full_id={full_model_id}")
|
||||
logger.info(f"placements: {len(selected)}")
|
||||
for p in selected:
|
||||
@@ -364,7 +470,33 @@ def main() -> int:
|
||||
else:
|
||||
logger.info("Download: model already cached")
|
||||
|
||||
cluster_snapshot = capture_cluster_snapshot(client)
|
||||
|
||||
node_identities = cluster_snapshot.get("nodeIdentities", {})
|
||||
for node_id, identity in node_identities.items():
|
||||
bench_compat_str = identity.get("benchCompat", "Unknown")
|
||||
exo_ver = identity.get("exoVersion", "Unknown")
|
||||
if bench_compat_str == "Unknown":
|
||||
logger.error(
|
||||
f"Node {node_id} (exo {exo_ver}) does not report benchCompat — "
|
||||
f"requires {MIN_BENCH_COMPAT}–{MAX_BENCH_COMPAT}. "
|
||||
f"Update exo on this node."
|
||||
)
|
||||
return 1
|
||||
try:
|
||||
bench_compat = Version(bench_compat_str)
|
||||
except InvalidVersion:
|
||||
logger.error(f"Node {node_id} has invalid benchCompat {bench_compat_str!r}")
|
||||
return 1
|
||||
if bench_compat < MIN_BENCH_COMPAT or bench_compat > MAX_BENCH_COMPAT:
|
||||
logger.error(
|
||||
f"Node {node_id} benchCompat {bench_compat} outside supported range "
|
||||
f"{MIN_BENCH_COMPAT}–{MAX_BENCH_COMPAT}"
|
||||
)
|
||||
return 1
|
||||
|
||||
all_rows: list[dict[str, Any]] = []
|
||||
all_system_metrics: dict[str, dict[str, dict[str, float]]] = {}
|
||||
|
||||
for preview in selected:
|
||||
instance = preview["instance"]
|
||||
@@ -390,6 +522,16 @@ def main() -> int:
|
||||
|
||||
time.sleep(1)
|
||||
|
||||
sampler: SystemMetricsSampler | None = None
|
||||
if not args.no_system_metrics:
|
||||
nids = node_ids_from_instance(instance)
|
||||
sampler = SystemMetricsSampler(
|
||||
ExoClient(args.host, args.port, timeout_s=30),
|
||||
nids,
|
||||
interval_s=args.metrics_interval,
|
||||
)
|
||||
sampler.start()
|
||||
|
||||
try:
|
||||
for i in range(args.warmup):
|
||||
run_one_completion(
|
||||
@@ -408,15 +550,18 @@ def main() -> int:
|
||||
for concurrency in concurrency_list:
|
||||
logger.info(f"--- pp={pp} tg={tg} concurrency={concurrency} ---")
|
||||
runs: list[dict[str, Any]] = []
|
||||
inference_windows: list[tuple[float, float]] = []
|
||||
for r in range(args.repeat):
|
||||
time.sleep(3)
|
||||
|
||||
if concurrency <= 1:
|
||||
# Sequential: single request
|
||||
try:
|
||||
inf_t0 = time.monotonic()
|
||||
row, actual_pp_tokens = run_one_completion(
|
||||
client, full_model_id, pp, tg, prompt_sizer
|
||||
)
|
||||
inference_windows.append((inf_t0, time.monotonic()))
|
||||
except Exception as e:
|
||||
logger.error(e)
|
||||
continue
|
||||
@@ -443,19 +588,50 @@ def main() -> int:
|
||||
all_rows.append(row)
|
||||
else:
|
||||
# Concurrent: fire N requests in parallel
|
||||
# Each thread gets its own ExoClient (separate HTTP connection)
|
||||
# Pre-build prompt once, barrier ensures simultaneous dispatch
|
||||
content, actual_pp = prompt_sizer.build(pp)
|
||||
pre_built_payload: dict[str, Any] = {
|
||||
"model": full_model_id,
|
||||
"messages": [{"role": "user", "content": content}],
|
||||
"stream": False,
|
||||
"max_tokens": tg,
|
||||
}
|
||||
barrier = threading.Barrier(concurrency)
|
||||
batch_start = threading.Event()
|
||||
batch_t0: float = 0.0
|
||||
batch_results: list[tuple[dict[str, Any], int]] = []
|
||||
batch_errors = 0
|
||||
|
||||
def _run_concurrent(
|
||||
idx: int, *, _pp: int = pp, _tg: int = tg
|
||||
idx: int,
|
||||
_barrier: threading.Barrier = barrier,
|
||||
_batch_start: threading.Event = batch_start,
|
||||
_payload: dict[str, Any] = pre_built_payload,
|
||||
_actual_pp: int = actual_pp,
|
||||
) -> tuple[dict[str, Any], int]:
|
||||
nonlocal batch_t0
|
||||
c = ExoClient(
|
||||
args.host, args.port, timeout_s=args.timeout
|
||||
)
|
||||
return run_one_completion(
|
||||
c, full_model_id, _pp, _tg, prompt_sizer
|
||||
if _barrier.wait() == 0:
|
||||
batch_t0 = time.perf_counter()
|
||||
_batch_start.set()
|
||||
else:
|
||||
_batch_start.wait()
|
||||
t0 = batch_t0
|
||||
out = c.post_bench_chat_completions(_payload)
|
||||
elapsed = time.perf_counter() - t0
|
||||
stats = out.get("generation_stats")
|
||||
choices = out.get("choices") or [{}]
|
||||
message = (
|
||||
choices[0].get("message", {}) if choices else {}
|
||||
)
|
||||
text = message.get("content") or ""
|
||||
return {
|
||||
"elapsed_s": elapsed,
|
||||
"output_text_preview": text[:200],
|
||||
"stats": stats,
|
||||
}, _actual_pp
|
||||
|
||||
with ThreadPoolExecutor(max_workers=concurrency) as pool:
|
||||
futures = {
|
||||
@@ -468,6 +644,12 @@ def main() -> int:
|
||||
except Exception as e:
|
||||
logger.error(f"Concurrent request failed: {e}")
|
||||
batch_errors += 1
|
||||
batch_wall_s = (
|
||||
max(x["elapsed_s"] for x, _ in batch_results)
|
||||
if batch_results
|
||||
else time.perf_counter() - batch_t0
|
||||
)
|
||||
inference_windows.append((inf_t0, time.monotonic()))
|
||||
|
||||
for idx, (row, actual_pp_tokens) in enumerate(
|
||||
batch_results
|
||||
@@ -501,36 +683,57 @@ def main() -> int:
|
||||
for x, _ in batch_results
|
||||
if x["stats"]["generation_tps"] > 0
|
||||
]
|
||||
agg_gen_tps = (
|
||||
mean(valid_gen_tps) if valid_gen_tps else 0.0
|
||||
per_req_tps = (
|
||||
max(valid_gen_tps) if valid_gen_tps else 0.0
|
||||
)
|
||||
gen_tps = agg_gen_tps / concurrency
|
||||
agg_gen_tps = per_req_tps * concurrency
|
||||
logger.info(
|
||||
f"[concurrent {concurrency}x] "
|
||||
f"agg_gen_tps={agg_gen_tps:.2f} "
|
||||
f"gen_tps={gen_tps:.2f} "
|
||||
f"per_req_tps={per_req_tps:.2f} "
|
||||
f"wall_s={batch_wall_s:.2f} "
|
||||
f"errors={batch_errors}"
|
||||
)
|
||||
|
||||
if runs:
|
||||
prompt_tps = mean(x["stats"]["prompt_tps"] for x in runs)
|
||||
gen_tps = mean(
|
||||
x["stats"]["generation_tps"] / x["concurrency"]
|
||||
valid_gen = [
|
||||
x["stats"]["generation_tps"]
|
||||
for x in runs
|
||||
)
|
||||
if x["stats"]["generation_tps"] > 0
|
||||
]
|
||||
per_req_tps = max(valid_gen) if valid_gen else 0.0
|
||||
gen_tps = per_req_tps * concurrency
|
||||
ptok = mean(x["stats"]["prompt_tokens"] for x in runs)
|
||||
gtok = mean(x["stats"]["generation_tokens"] for x in runs)
|
||||
peak = mean(
|
||||
x["stats"]["peak_memory_usage"]["inBytes"] for x in runs
|
||||
)
|
||||
|
||||
logger.info(
|
||||
summary = (
|
||||
f"prompt_tps={prompt_tps:.2f} gen_tps={gen_tps:.2f} "
|
||||
f"prompt_tokens={ptok} gen_tokens={gtok} "
|
||||
f"peak_memory={format_peak_memory(peak)}\n"
|
||||
f"peak_memory={format_peak_memory(peak)}"
|
||||
)
|
||||
if sampler and inference_windows:
|
||||
joules = sum(
|
||||
sampler.energy_between(t0, t1)
|
||||
for t0, t1 in inference_windows
|
||||
)
|
||||
inf_seconds = sum(t1 - t0 for t0, t1 in inference_windows)
|
||||
avg_watts = joules / inf_seconds if inf_seconds > 0 else 0
|
||||
summary += f" energy={joules:.1f}J ({avg_watts:.1f}W avg over {inf_seconds:.1f}s inference)"
|
||||
logger.info(f"{summary}\n")
|
||||
time.sleep(2)
|
||||
finally:
|
||||
if sampler:
|
||||
sampler.stop()
|
||||
placement_label = f"{sharding}/{instance_meta}/{n_nodes} nodes"
|
||||
sampler.print_summary(placement_label)
|
||||
placement_metrics = sampler.summarize()
|
||||
if placement_metrics:
|
||||
all_system_metrics.update(placement_metrics)
|
||||
|
||||
try:
|
||||
client.request_json("DELETE", f"/instance/{instance_id}")
|
||||
except ExoHttpError as e:
|
||||
@@ -541,11 +744,17 @@ def main() -> int:
|
||||
|
||||
time.sleep(5)
|
||||
|
||||
output: dict[str, Any] = {"bench_compat": BENCH_COMPAT, "runs": all_rows}
|
||||
if cluster_snapshot:
|
||||
output["cluster"] = cluster_snapshot
|
||||
if all_system_metrics:
|
||||
output["system_metrics"] = all_system_metrics
|
||||
|
||||
if args.stdout:
|
||||
json.dump(all_rows, sys.stdout, indent=2, ensure_ascii=False)
|
||||
json.dump(output, sys.stdout, indent=2, ensure_ascii=False)
|
||||
elif args.json_out:
|
||||
with open(args.json_out, "w", encoding="utf-8") as f:
|
||||
json.dump(all_rows, f, indent=2, ensure_ascii=False)
|
||||
json.dump(output, f, indent=2, ensure_ascii=False)
|
||||
logger.debug(f"\nWrote results JSON: {args.json_out}")
|
||||
|
||||
return 0
|
||||
|
||||
+8
-1
@@ -46,6 +46,7 @@ from harness import (
|
||||
ExoClient,
|
||||
ExoHttpError,
|
||||
add_common_instance_args,
|
||||
capture_cluster_snapshot,
|
||||
instance_id_from_instance,
|
||||
nodes_used_in_instance,
|
||||
resolve_model_short_id,
|
||||
@@ -1027,16 +1028,18 @@ def save_results(
|
||||
concurrency: int,
|
||||
results: list[QuestionResult],
|
||||
scores: dict[str, Any],
|
||||
cluster: dict[str, Any] | None = None,
|
||||
) -> Path:
|
||||
out_dir = Path(results_dir) / model.replace("/", "_") / benchmark_name
|
||||
out_dir.mkdir(parents=True, exist_ok=True)
|
||||
ts = time.strftime("%Y%m%d_%H%M%S")
|
||||
path = out_dir / f"c{concurrency}_{ts}.json"
|
||||
|
||||
data = {
|
||||
data: dict[str, Any] = {
|
||||
"benchmark": benchmark_name,
|
||||
"model": model,
|
||||
"concurrency": concurrency,
|
||||
**({"cluster": cluster} if cluster else {}),
|
||||
"scores": scores,
|
||||
"results": [
|
||||
{
|
||||
@@ -1231,8 +1234,10 @@ def main() -> int:
|
||||
client.request_json("DELETE", f"/instance/{instance_id}")
|
||||
return 1
|
||||
time.sleep(1)
|
||||
cluster_snapshot = capture_cluster_snapshot(client)
|
||||
else:
|
||||
full_model_id = args.model
|
||||
cluster_snapshot = None
|
||||
|
||||
# Auto-detect reasoning from model config
|
||||
model_config = load_model_config(full_model_id)
|
||||
@@ -1328,6 +1333,7 @@ def main() -> int:
|
||||
c,
|
||||
results,
|
||||
scores,
|
||||
cluster=cluster_snapshot,
|
||||
)
|
||||
results_by_c[c] = results
|
||||
if len(results_by_c) >= 2:
|
||||
@@ -1358,6 +1364,7 @@ def main() -> int:
|
||||
args.num_concurrent,
|
||||
results,
|
||||
scores,
|
||||
cluster=cluster_snapshot,
|
||||
)
|
||||
finally:
|
||||
if instance_id is not None:
|
||||
|
||||
+95
-27
@@ -69,6 +69,35 @@ class ExoClient:
|
||||
def post_bench_chat_completions(self, payload: dict[str, Any]) -> dict[str, Any]:
|
||||
return self.request_json("POST", "/bench/chat/completions", body=payload)
|
||||
|
||||
def get_state_path(self, path: str) -> Any:
|
||||
try:
|
||||
return self.request_json("GET", f"/state/{path}")
|
||||
except ExoHttpError as e:
|
||||
if e.status == 404:
|
||||
return None
|
||||
raise
|
||||
|
||||
def get_instance(self, instance_id: str) -> dict[str, Any] | None:
|
||||
return self.get_state_path(f"instances/{instance_id}")
|
||||
|
||||
def get_runner(self, runner_id: str) -> dict[str, Any] | None:
|
||||
return self.get_state_path(f"runners/{runner_id}")
|
||||
|
||||
def get_node_downloads(self, node_id: str) -> list[dict[str, Any]] | None:
|
||||
return self.get_state_path(f"downloads/{node_id}")
|
||||
|
||||
def get_node_disk(self, node_id: str) -> dict[str, Any] | None:
|
||||
return self.get_state_path(f"nodeDisk/{node_id}")
|
||||
|
||||
def get_node_system(self, node_id: str) -> dict[str, Any] | None:
|
||||
return self.get_state_path(f"nodeSystem/{node_id}")
|
||||
|
||||
def get_node_identities(self) -> dict[str, Any] | None:
|
||||
return self.get_state_path("nodeIdentities")
|
||||
|
||||
def get_topology(self) -> dict[str, Any] | None:
|
||||
return self.get_state_path("topology")
|
||||
|
||||
|
||||
def unwrap_instance(instance: dict[str, Any]) -> dict[str, Any]:
|
||||
if len(instance) != 1:
|
||||
@@ -97,6 +126,11 @@ def runner_ids_from_instance(instance: dict[str, Any]) -> list[str]:
|
||||
return list(runner_to_shard.keys())
|
||||
|
||||
|
||||
def node_ids_from_instance(instance: dict[str, Any]) -> list[str]:
|
||||
inner = unwrap_instance(instance)
|
||||
return list(inner["shardAssignments"]["nodeToRunner"].keys())
|
||||
|
||||
|
||||
def runner_ready(runner: dict[str, Any]) -> bool:
|
||||
return "RunnerReady" in runner
|
||||
|
||||
@@ -116,13 +150,12 @@ def wait_for_instance_ready(
|
||||
) -> None:
|
||||
start_time = time.time()
|
||||
instance_existed = False
|
||||
last_loaded: dict[str, int] = {}
|
||||
while time.time() - start_time < timeout:
|
||||
state = client.request_json("GET", "/state")
|
||||
instances = state.get("instances", {})
|
||||
instance = client.get_instance(instance_id)
|
||||
|
||||
if instance_id not in instances:
|
||||
if instance is None:
|
||||
if instance_existed:
|
||||
# Instance was deleted after being created - likely due to runner failure
|
||||
raise RuntimeError(
|
||||
f"Instance {instance_id} was deleted (runner may have failed)"
|
||||
)
|
||||
@@ -130,18 +163,25 @@ def wait_for_instance_ready(
|
||||
continue
|
||||
|
||||
instance_existed = True
|
||||
instance = instances[instance_id]
|
||||
runner_ids = runner_ids_from_instance(instance)
|
||||
runners = state.get("runners", {})
|
||||
rids = runner_ids_from_instance(instance)
|
||||
|
||||
# Check for failed runners first
|
||||
for rid in runner_ids:
|
||||
runner = runners.get(rid, {})
|
||||
all_ready = True
|
||||
for rid in rids:
|
||||
runner = client.get_runner(rid) or {}
|
||||
if runner_failed(runner):
|
||||
error_msg = get_runner_failed_message(runner) or "Unknown error"
|
||||
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
|
||||
if "RunnerLoading" in runner:
|
||||
loading = runner["RunnerLoading"]
|
||||
loaded = loading.get("layersLoaded", 0)
|
||||
total = loading.get("totalLayers", 0)
|
||||
if total > 0 and last_loaded.get(rid) != loaded:
|
||||
last_loaded[rid] = loaded
|
||||
logger.debug(f"Runner {rid}: loading layers {loaded}/{total}")
|
||||
if not runner_ready(runner):
|
||||
all_ready = False
|
||||
|
||||
if all(runner_ready(runners.get(rid, {})) for rid in runner_ids):
|
||||
if all_ready:
|
||||
return
|
||||
|
||||
time.sleep(0.1)
|
||||
@@ -165,6 +205,23 @@ def wait_for_instance_gone(
|
||||
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
|
||||
|
||||
|
||||
def capture_cluster_snapshot(client: ExoClient) -> dict[str, Any]:
|
||||
snapshot: dict[str, Any] = {}
|
||||
identities = client.get_node_identities()
|
||||
if identities:
|
||||
snapshot["nodeIdentities"] = identities
|
||||
topology = client.get_topology()
|
||||
if topology:
|
||||
snapshot["topology"] = topology
|
||||
node_memory = client.get_state_path("nodeMemory")
|
||||
if node_memory:
|
||||
snapshot["nodeMemory"] = node_memory
|
||||
node_system = client.get_state_path("nodeSystem")
|
||||
if node_system:
|
||||
snapshot["nodeSystem"] = node_system
|
||||
return snapshot
|
||||
|
||||
|
||||
def resolve_model_short_id(
|
||||
client: ExoClient, model_arg: str, *, force_download: bool = False
|
||||
) -> tuple[str, str]:
|
||||
@@ -326,16 +383,11 @@ def run_planning_phase(
|
||||
node_ids = list(inner["shardAssignments"]["nodeToRunner"].keys())
|
||||
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
|
||||
|
||||
state = client.request_json("GET", "/state")
|
||||
downloads = state.get("downloads", {})
|
||||
node_disk = state.get("nodeDisk", {})
|
||||
|
||||
needs_download = False
|
||||
|
||||
for node_id in node_ids:
|
||||
node_downloads = downloads.get(node_id, [])
|
||||
node_downloads = client.get_node_downloads(node_id) or []
|
||||
|
||||
# Check if model already downloaded on this node
|
||||
already_downloaded = any(
|
||||
"DownloadCompleted" in p
|
||||
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
|
||||
@@ -349,8 +401,7 @@ def run_planning_phase(
|
||||
|
||||
needs_download = True
|
||||
|
||||
# Wait for disk info if settle_deadline is set
|
||||
disk_info = node_disk.get(node_id, {})
|
||||
disk_info = client.get_node_disk(node_id) or {}
|
||||
backoff = _SETTLE_INITIAL_BACKOFF_S
|
||||
while not disk_info and settle_deadline and time.monotonic() < settle_deadline:
|
||||
remaining = settle_deadline - time.monotonic()
|
||||
@@ -359,9 +410,7 @@ def run_planning_phase(
|
||||
)
|
||||
time.sleep(min(backoff, remaining))
|
||||
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
|
||||
state = client.request_json("GET", "/state")
|
||||
node_disk = state.get("nodeDisk", {})
|
||||
disk_info = node_disk.get(node_id, {})
|
||||
disk_info = client.get_node_disk(node_id) or {}
|
||||
|
||||
if not disk_info:
|
||||
logger.warning(f"No disk info for {node_id}, skipping space check")
|
||||
@@ -377,7 +426,6 @@ def run_planning_phase(
|
||||
f"have {avail // (1024**3)}GB. Use --danger-delete-downloads to free space."
|
||||
)
|
||||
|
||||
# Delete from smallest to largest (skip read-only models from EXO_MODELS_PATH)
|
||||
completed = [
|
||||
(
|
||||
unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
|
||||
@@ -417,21 +465,20 @@ def run_planning_phase(
|
||||
# Wait for downloads
|
||||
start = time.time()
|
||||
while time.time() - start < timeout:
|
||||
state = client.request_json("GET", "/state")
|
||||
downloads = state.get("downloads", {})
|
||||
all_done = True
|
||||
for node_id in node_ids:
|
||||
node_downloads = client.get_node_downloads(node_id) or []
|
||||
done = any(
|
||||
"DownloadCompleted" in p
|
||||
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
|
||||
"modelCard"
|
||||
]["modelId"]
|
||||
== full_model_id
|
||||
for p in downloads.get(node_id, [])
|
||||
for p in node_downloads
|
||||
)
|
||||
failed = [
|
||||
p["DownloadFailed"]["errorMessage"]
|
||||
for p in downloads.get(node_id, [])
|
||||
for p in node_downloads
|
||||
if "DownloadFailed" in p
|
||||
and unwrap_instance(p["DownloadFailed"]["shardMetadata"])["modelCard"][
|
||||
"modelId"
|
||||
@@ -442,6 +489,27 @@ def run_planning_phase(
|
||||
raise RuntimeError(f"Download failed on {node_id}: {failed[0]}")
|
||||
if not done:
|
||||
all_done = False
|
||||
ongoing = [
|
||||
p
|
||||
for p in node_downloads
|
||||
if "DownloadOngoing" in p
|
||||
and unwrap_instance(p["DownloadOngoing"]["shardMetadata"])[
|
||||
"modelCard"
|
||||
]["modelId"]
|
||||
== full_model_id
|
||||
]
|
||||
if ongoing:
|
||||
prog = ongoing[0]["DownloadOngoing"]["downloadProgress"]
|
||||
speed_mb = prog.get("speed", 0) / (1024 * 1024)
|
||||
eta_s = prog.get("etaMs", 0) / 1000
|
||||
dl_bytes = prog.get("downloaded", {}).get("inBytes", 0)
|
||||
total_bytes = prog.get("total", {}).get("inBytes", 0)
|
||||
pct = (dl_bytes / total_bytes * 100) if total_bytes else 0
|
||||
logger.info(
|
||||
f"Downloading on {node_id}: {pct:.1f}% @ {speed_mb:.1f} MB/s, "
|
||||
f"ETA {eta_s:.0f}s "
|
||||
f"({prog.get('completedFiles', 0)}/{prog.get('totalFiles', 0)} files)"
|
||||
)
|
||||
if all_done:
|
||||
if download_t0 is not None:
|
||||
return time.perf_counter() - download_t0
|
||||
|
||||
Generated
+272
-1
@@ -11,7 +11,8 @@
|
||||
"highlight.js": "^11.11.1",
|
||||
"katex": "^0.16.27",
|
||||
"marked": "^17.0.1",
|
||||
"mode-watcher": "^1.1.0"
|
||||
"mode-watcher": "^1.1.0",
|
||||
"pdfjs-dist": "^5.6.205"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@sveltejs/adapter-static": "^3.0.10",
|
||||
@@ -518,6 +519,256 @@
|
||||
"@jridgewell/sourcemap-codec": "^1.4.14"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas/-/canvas-0.1.97.tgz",
|
||||
"integrity": "sha512-8cFniXvrIEnVwuNSRCW9wirRZbHvrD3JVujdS2P5n5xiJZNZMOZcfOvJ1pb66c7jXMKHHglJEDVJGbm8XWFcXQ==",
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"workspaces": [
|
||||
"e2e/*"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@napi-rs/canvas-android-arm64": "0.1.97",
|
||||
"@napi-rs/canvas-darwin-arm64": "0.1.97",
|
||||
"@napi-rs/canvas-darwin-x64": "0.1.97",
|
||||
"@napi-rs/canvas-linux-arm-gnueabihf": "0.1.97",
|
||||
"@napi-rs/canvas-linux-arm64-gnu": "0.1.97",
|
||||
"@napi-rs/canvas-linux-arm64-musl": "0.1.97",
|
||||
"@napi-rs/canvas-linux-riscv64-gnu": "0.1.97",
|
||||
"@napi-rs/canvas-linux-x64-gnu": "0.1.97",
|
||||
"@napi-rs/canvas-linux-x64-musl": "0.1.97",
|
||||
"@napi-rs/canvas-win32-arm64-msvc": "0.1.97",
|
||||
"@napi-rs/canvas-win32-x64-msvc": "0.1.97"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-android-arm64": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-android-arm64/-/canvas-android-arm64-0.1.97.tgz",
|
||||
"integrity": "sha512-V1c/WVw+NzH8vk7ZK/O8/nyBSCQimU8sfMsB/9qeSvdkGKNU7+mxy/bIF0gTgeBFmHpj30S4E9WHMSrxXGQuVQ==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"android"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-darwin-arm64": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-darwin-arm64/-/canvas-darwin-arm64-0.1.97.tgz",
|
||||
"integrity": "sha512-ok+SCEF4YejcxuJ9Rm+WWunHHpf2HmiPxfz6z1a/NFQECGXtsY7A4B8XocK1LmT1D7P174MzwPF9Wy3AUAwEPw==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-darwin-x64": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-darwin-x64/-/canvas-darwin-x64-0.1.97.tgz",
|
||||
"integrity": "sha512-PUP6e6/UGlclUvAQNnuXCcnkpdUou6VYZfQOQxExLp86epOylmiwLkqXIvpFmjoTEDmPmXrI+coL/9EFU1gKPA==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-linux-arm-gnueabihf": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-arm-gnueabihf/-/canvas-linux-arm-gnueabihf-0.1.97.tgz",
|
||||
"integrity": "sha512-XyXH2L/cic8eTNtbrXCcvqHtMX/nEOxN18+7rMrAM2XtLYC/EB5s0wnO1FsLMWmK+04ZSLN9FBGipo7kpIkcOw==",
|
||||
"cpu": [
|
||||
"arm"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-linux-arm64-gnu": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-arm64-gnu/-/canvas-linux-arm64-gnu-0.1.97.tgz",
|
||||
"integrity": "sha512-Kuq/M3djq0K8ktgz6nPlK7Ne5d4uWeDxPpyKWOjWDK2RIOhHVtLtyLiJw2fuldw7Vn4mhw05EZXCEr4Q76rs9w==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-linux-arm64-musl": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-arm64-musl/-/canvas-linux-arm64-musl-0.1.97.tgz",
|
||||
"integrity": "sha512-kKmSkQVnWeqg7qdsiXvYxKhAFuHz3tkBjW/zyQv5YKUPhotpaVhpBGv5LqCngzyuRV85SXoe+OFj+Tv0a0QXkQ==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-linux-riscv64-gnu": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-riscv64-gnu/-/canvas-linux-riscv64-gnu-0.1.97.tgz",
|
||||
"integrity": "sha512-Jc7I3A51jnEOIAXeLsN/M/+Z28LUeakcsXs07FLq9prXc0eYOtVwsDEv913Gr+06IRo34gJJVgT0TXvmz+N2VA==",
|
||||
"cpu": [
|
||||
"riscv64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-linux-x64-gnu": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-x64-gnu/-/canvas-linux-x64-gnu-0.1.97.tgz",
|
||||
"integrity": "sha512-iDUBe7AilfuBSRbSa8/IGX38Mf+iCSBqoVKLSQ5XaY2JLOaqz1TVyPFEyIck7wT6mRQhQt5sN6ogfjIDfi74tg==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-linux-x64-musl": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-x64-musl/-/canvas-linux-x64-musl-0.1.97.tgz",
|
||||
"integrity": "sha512-AKLFd/v0Z5fvgqBDqhvqtAdx+fHMJ5t9JcUNKq4FIZ5WH+iegGm8HPdj00NFlCSnm83Fp3Ln8I2f7uq1aIiWaA==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-win32-arm64-msvc": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-win32-arm64-msvc/-/canvas-win32-arm64-msvc-0.1.97.tgz",
|
||||
"integrity": "sha512-u883Yr6A6fO7Vpsy9YE4FVCIxzzo5sO+7pIUjjoDLjS3vQaNMkVzx5bdIpEL+ob+gU88WDK4VcxYMZ6nmnoX9A==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"win32"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/canvas-win32-x64-msvc": {
|
||||
"version": "0.1.97",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-win32-x64-msvc/-/canvas-win32-x64-msvc-0.1.97.tgz",
|
||||
"integrity": "sha512-sWtD2EE3fV0IzN+iiQUqr/Q1SwqWhs2O1FKItFlxtdDkikpEj5g7DKQpY3x55H/MAOnL8iomnlk3mcEeGiUMoQ==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"win32"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 10"
|
||||
},
|
||||
"funding": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/sponsors/Brooooooklyn"
|
||||
}
|
||||
},
|
||||
"node_modules/@polka/url": {
|
||||
"version": "1.0.0-next.29",
|
||||
"resolved": "https://registry.npmjs.org/@polka/url/-/url-1.0.0-next.29.tgz",
|
||||
@@ -2635,6 +2886,26 @@
|
||||
"node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1"
|
||||
}
|
||||
},
|
||||
"node_modules/node-readable-to-web-readable-stream": {
|
||||
"version": "0.4.2",
|
||||
"resolved": "https://registry.npmjs.org/node-readable-to-web-readable-stream/-/node-readable-to-web-readable-stream-0.4.2.tgz",
|
||||
"integrity": "sha512-/cMZNI34v//jUTrI+UIo4ieHAB5EZRY/+7OmXZgBxaWBMcW2tGdceIw06RFxWxrKZ5Jp3sI2i5TsRo+CBhtVLQ==",
|
||||
"license": "MIT",
|
||||
"optional": true
|
||||
},
|
||||
"node_modules/pdfjs-dist": {
|
||||
"version": "5.6.205",
|
||||
"resolved": "https://registry.npmjs.org/pdfjs-dist/-/pdfjs-dist-5.6.205.tgz",
|
||||
"integrity": "sha512-tlUj+2IDa7G1SbvBNN74UHRLJybZDWYom+k6p5KIZl7huBvsA4APi6mKL+zCxd3tLjN5hOOEE9Tv7VdzO88pfg==",
|
||||
"license": "Apache-2.0",
|
||||
"engines": {
|
||||
"node": ">=20.19.0 || >=22.13.0 || >=24"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@napi-rs/canvas": "^0.1.96",
|
||||
"node-readable-to-web-readable-stream": "^0.4.2"
|
||||
}
|
||||
},
|
||||
"node_modules/picocolors": {
|
||||
"version": "1.1.1",
|
||||
"resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz",
|
||||
|
||||
@@ -31,6 +31,7 @@
|
||||
"highlight.js": "^11.11.1",
|
||||
"katex": "^0.16.27",
|
||||
"marked": "^17.0.1",
|
||||
"mode-watcher": "^1.1.0"
|
||||
"mode-watcher": "^1.1.0",
|
||||
"pdfjs-dist": "^5.6.205"
|
||||
}
|
||||
}
|
||||
@@ -139,6 +139,8 @@
|
||||
return "🖼";
|
||||
case "text":
|
||||
return "📄";
|
||||
case "pdf":
|
||||
return "📑";
|
||||
default:
|
||||
return "📎";
|
||||
}
|
||||
|
||||
@@ -88,6 +88,12 @@
|
||||
d="M22.012 0h1.032v.927H24v.968h-.956V3.78h-1.032V1.896h-1.878v-.97h1.878V0zM2.6 12.371V1.87h.969v10.502h-.97zm10.423.66h10.95v.918h-6.208v9.579h-4.742V13.03zM5.629 3.333v12.356H0v4.51h10.386V8L20.859 8l-.003-4.668-15.227.001z"
|
||||
/>
|
||||
</svg>
|
||||
{:else if family === "nemotron"}
|
||||
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
|
||||
<path
|
||||
d="M8.948 8.798v-1.43a6.7 6.7 0 0 1 .424-.018c3.922-.124 6.493 3.374 6.493 3.374s-2.774 3.851-5.75 3.851c-.398 0-.787-.062-1.158-.185v-4.346c1.528.185 1.837.857 2.747 2.385l2.04-1.714s-1.492-1.952-4-1.952a6.016 6.016 0 0 0-.796.035m0-4.735v2.138l.424-.027c5.45-.185 9.01 4.47 9.01 4.47s-4.08 4.964-8.33 4.964c-.37 0-.733-.035-1.095-.097v1.325c.3.035.61.062.91.062 3.957 0 6.82-2.023 9.593-4.408.459.371 2.34 1.263 2.73 1.652-2.633 2.208-8.772 3.984-12.253 3.984-.335 0-.653-.018-.971-.053v1.864H24V4.063zm0 10.326v1.131c-3.657-.654-4.673-4.46-4.673-4.46s1.758-1.944 4.673-2.262v1.237H8.94c-1.528-.186-2.73 1.245-2.73 1.245s.68 2.412 2.739 3.11M2.456 10.9s2.164-3.197 6.5-3.533V6.201C4.153 6.59 0 10.653 0 10.653s2.35 6.802 8.948 7.42v-1.237c-4.84-.6-6.492-5.936-6.492-5.936z"
|
||||
/>
|
||||
</svg>
|
||||
{:else}
|
||||
<svg class="w-6 h-6 {className}" viewBox="0 0 24 24" fill="currentColor">
|
||||
<path
|
||||
|
||||
@@ -31,6 +31,7 @@
|
||||
kimi: "Kimi",
|
||||
flux: "FLUX",
|
||||
"qwen-image": "Qwen Img",
|
||||
nemotron: "NVIDIA",
|
||||
};
|
||||
|
||||
function getFamilyName(family: string): string {
|
||||
@@ -41,31 +42,20 @@
|
||||
</script>
|
||||
|
||||
<div
|
||||
class="flex flex-col gap-1 py-2 px-1 border-r border-exo-yellow/10 bg-exo-medium-gray/30 min-w-[72px] sm:min-w-[64px] overflow-y-auto scrollbar-hide"
|
||||
class="flex flex-col gap-1 py-2 px-1 border-r border-exo-yellow/10 bg-exo-medium-gray/30 min-w-[80px] sm:min-w-[72px] overflow-y-auto scrollbar-hide"
|
||||
>
|
||||
<!-- All models (no filter) -->
|
||||
<button
|
||||
type="button"
|
||||
onclick={() => onSelect(null)}
|
||||
class="group flex flex-col items-center justify-center p-2 sm:p-2 rounded transition-all duration-200 cursor-pointer min-h-[44px] sm:min-h-0 {selectedFamily ===
|
||||
class="group flex items-center justify-center px-3 py-2.5 rounded transition-all duration-200 cursor-pointer min-h-[44px] sm:min-h-0 {selectedFamily ===
|
||||
null
|
||||
? 'bg-exo-yellow/20 border-l-2 border-exo-yellow'
|
||||
: 'hover:bg-white/5 border-l-2 border-transparent'}"
|
||||
title="All models"
|
||||
>
|
||||
<svg
|
||||
class="w-5 h-5 {selectedFamily === null
|
||||
? 'text-exo-yellow'
|
||||
: 'text-white/50 group-hover:text-white/70'}"
|
||||
viewBox="0 0 24 24"
|
||||
fill="currentColor"
|
||||
>
|
||||
<path
|
||||
d="M4 8h4V4H4v4zm6 12h4v-4h-4v4zm-6 0h4v-4H4v4zm0-6h4v-4H4v4zm6 0h4v-4h-4v4zm6-10v4h4V4h-4zm-6 4h4V4h-4v4zm6 6h4v-4h-4v4zm0 6h4v-4h-4v4z"
|
||||
/>
|
||||
</svg>
|
||||
<span
|
||||
class="text-[9px] font-mono mt-0.5 {selectedFamily === null
|
||||
class="text-[12px] font-mono font-medium {selectedFamily === null
|
||||
? 'text-exo-yellow'
|
||||
: 'text-white/40 group-hover:text-white/60'}">All</span
|
||||
>
|
||||
@@ -89,7 +79,7 @@
|
||||
: "text-white/50 group-hover:text-amber-400/70"}
|
||||
/>
|
||||
<span
|
||||
class="text-[9px] font-mono mt-0.5 {selectedFamily === 'favorites'
|
||||
class="text-[11px] font-mono mt-0.5 {selectedFamily === 'favorites'
|
||||
? 'text-amber-400'
|
||||
: 'text-white/40 group-hover:text-white/60'}">Faves</span
|
||||
>
|
||||
@@ -114,7 +104,7 @@
|
||||
: "text-white/50 group-hover:text-white/70"}
|
||||
/>
|
||||
<span
|
||||
class="text-[9px] font-mono mt-0.5 {selectedFamily === 'recents'
|
||||
class="text-[11px] font-mono mt-0.5 {selectedFamily === 'recents'
|
||||
? 'text-exo-yellow'
|
||||
: 'text-white/40 group-hover:text-white/60'}">Recent</span
|
||||
>
|
||||
@@ -138,7 +128,7 @@
|
||||
: "text-white/50 group-hover:text-orange-400/70"}
|
||||
/>
|
||||
<span
|
||||
class="text-[9px] font-mono mt-0.5 {selectedFamily === 'huggingface'
|
||||
class="text-[11px] font-mono mt-0.5 {selectedFamily === 'huggingface'
|
||||
? 'text-orange-400'
|
||||
: 'text-white/40 group-hover:text-white/60'}">Hub</span
|
||||
>
|
||||
@@ -164,7 +154,7 @@
|
||||
: "text-white/50 group-hover:text-white/70"}
|
||||
/>
|
||||
<span
|
||||
class="text-[9px] font-mono mt-0.5 truncate max-w-full {selectedFamily ===
|
||||
class="text-[11px] font-mono mt-0.5 truncate max-w-full {selectedFamily ===
|
||||
family
|
||||
? 'text-exo-yellow'
|
||||
: 'text-white/40 group-hover:text-white/60'}"
|
||||
|
||||
@@ -1,21 +1,38 @@
|
||||
<script lang="ts">
|
||||
import { browser } from "$app/environment";
|
||||
|
||||
export let showHome = true;
|
||||
export let onHome: (() => void) | null = null;
|
||||
export let showSidebarToggle = false;
|
||||
export let sidebarVisible = true;
|
||||
export let onToggleSidebar: (() => void) | null = null;
|
||||
export let showMobileMenuToggle = false;
|
||||
export let mobileMenuOpen = false;
|
||||
export let onToggleMobileMenu: (() => void) | null = null;
|
||||
export let showMobileRightToggle = false;
|
||||
export let mobileRightOpen = false;
|
||||
export let onToggleMobileRight: (() => void) | null = null;
|
||||
export let downloadProgress: {
|
||||
count: number;
|
||||
percentage: number;
|
||||
} | null = null;
|
||||
interface Props {
|
||||
showHome?: boolean;
|
||||
onHome?: (() => void) | null;
|
||||
showSidebarToggle?: boolean;
|
||||
sidebarVisible?: boolean;
|
||||
onToggleSidebar?: (() => void) | null;
|
||||
showMobileMenuToggle?: boolean;
|
||||
mobileMenuOpen?: boolean;
|
||||
onToggleMobileMenu?: (() => void) | null;
|
||||
showMobileRightToggle?: boolean;
|
||||
mobileRightOpen?: boolean;
|
||||
onToggleMobileRight?: (() => void) | null;
|
||||
downloadProgress?: {
|
||||
count: number;
|
||||
percentage: number;
|
||||
} | null;
|
||||
}
|
||||
|
||||
let {
|
||||
showHome = true,
|
||||
onHome = null,
|
||||
showSidebarToggle = false,
|
||||
sidebarVisible = true,
|
||||
onToggleSidebar = null,
|
||||
showMobileMenuToggle = false,
|
||||
mobileMenuOpen = false,
|
||||
onToggleMobileMenu = null,
|
||||
showMobileRightToggle = false,
|
||||
mobileRightOpen = false,
|
||||
onToggleMobileRight = null,
|
||||
downloadProgress = null,
|
||||
}: Props = $props();
|
||||
|
||||
function handleHome(): void {
|
||||
if (onHome) {
|
||||
@@ -259,5 +276,26 @@
|
||||
{/if}
|
||||
<span class="hidden sm:inline">Downloads</span>
|
||||
</a>
|
||||
<a
|
||||
href="/#/integrations"
|
||||
class="text-xs md:text-sm text-white/70 hover:text-exo-yellow transition-colors tracking-wider uppercase flex items-center gap-1.5 md:gap-2 cursor-pointer"
|
||||
title="Integration configs for external tools"
|
||||
>
|
||||
<svg
|
||||
class="w-4 h-4"
|
||||
viewBox="0 0 24 24"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
>
|
||||
<path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71" />
|
||||
<path
|
||||
d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"
|
||||
/>
|
||||
</svg>
|
||||
<span class="hidden sm:inline">Integrations</span>
|
||||
</a>
|
||||
</nav>
|
||||
</header>
|
||||
@@ -0,0 +1,52 @@
|
||||
<script lang="ts">
|
||||
interface Props {
|
||||
title: string;
|
||||
subtitle: string;
|
||||
config: string;
|
||||
description?: string;
|
||||
language?: "json" | "bash";
|
||||
}
|
||||
|
||||
let {
|
||||
title,
|
||||
subtitle,
|
||||
config,
|
||||
description = "",
|
||||
language = "json",
|
||||
}: Props = $props();
|
||||
|
||||
let copied = $state(false);
|
||||
|
||||
async function copyToClipboard() {
|
||||
await navigator.clipboard.writeText(config);
|
||||
copied = true;
|
||||
setTimeout(() => (copied = false), 2000);
|
||||
}
|
||||
</script>
|
||||
|
||||
<div
|
||||
class="border border-exo-light-gray/20 rounded-lg bg-exo-medium-gray/20 overflow-hidden"
|
||||
>
|
||||
<div class="flex items-center justify-between px-5 py-4">
|
||||
<div>
|
||||
<h3 class="text-white text-sm font-semibold tracking-wide">{title}</h3>
|
||||
<p class="text-exo-light-gray/60 text-xs mt-0.5 font-mono">{subtitle}</p>
|
||||
</div>
|
||||
<button
|
||||
onclick={copyToClipboard}
|
||||
class="px-3 py-1.5 text-xs rounded border transition-all duration-200 cursor-pointer
|
||||
{copied
|
||||
? 'border-green-500/50 text-green-400 bg-green-500/10'
|
||||
: 'border-exo-light-gray/30 text-exo-light-gray hover:border-exo-yellow/50 hover:text-exo-yellow'}"
|
||||
>
|
||||
{copied ? "Copied!" : "Copy"}
|
||||
</button>
|
||||
</div>
|
||||
{#if description}
|
||||
<p class="text-exo-light-gray/70 text-xs px-5 pb-3">{description}</p>
|
||||
{/if}
|
||||
<div class="bg-black/30 border-t border-exo-light-gray/10">
|
||||
<pre
|
||||
class="text-xs text-exo-light-gray/90 font-mono p-4 overflow-x-auto whitespace-pre">{config}</pre>
|
||||
</div>
|
||||
</div>
|
||||
@@ -16,7 +16,9 @@
|
||||
perNode?: Array<{
|
||||
nodeId: string;
|
||||
nodeName: string;
|
||||
progress: DownloadProgress;
|
||||
status: "completed" | "partial" | "pending" | "downloading";
|
||||
percentage: number;
|
||||
progress: DownloadProgress | null;
|
||||
}>;
|
||||
} | null;
|
||||
nodes?: Record<string, NodeInfo>;
|
||||
@@ -145,10 +147,7 @@
|
||||
return `${s}s`;
|
||||
}
|
||||
|
||||
const isDownloading = $derived(downloadStatus?.isDownloading ?? false);
|
||||
const progress = $derived(downloadStatus?.progress);
|
||||
const percentage = $derived(progress?.percentage ?? 0);
|
||||
let expandedNodes = $state<Set<string>>(new Set());
|
||||
const perNode = $derived(downloadStatus?.perNode ?? []);
|
||||
|
||||
function toggleNodeDetails(nodeId: string): void {
|
||||
const next = new Set(expandedNodes);
|
||||
@@ -587,23 +586,49 @@
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<!-- Download Status -->
|
||||
{#if isDownloading && progress}
|
||||
<!-- Download Status (per-node) -->
|
||||
{#if perNode.length > 0}
|
||||
<div class="mb-2 space-y-1">
|
||||
<div class="flex items-center justify-between text-xs font-mono">
|
||||
<span class="text-blue-400 tracking-wider uppercase">Downloading</span
|
||||
>
|
||||
<span class="text-white/60"
|
||||
>{percentage.toFixed(1)}% · {formatSpeed(progress.speed)}
|
||||
· {formatEta(progress.etaMs)}</span
|
||||
>
|
||||
</div>
|
||||
<div class="h-1 bg-exo-medium-gray/30 rounded overflow-hidden">
|
||||
<div
|
||||
class="h-full bg-blue-500/70 transition-all duration-300"
|
||||
style="width: {percentage}%"
|
||||
></div>
|
||||
<div
|
||||
class="text-[10px] font-mono text-white/20 tracking-widest uppercase"
|
||||
>
|
||||
Download progress
|
||||
</div>
|
||||
{#each perNode as node}
|
||||
<div class="flex items-center gap-2 text-xs font-mono">
|
||||
<span class="text-white/40 w-20 truncate" title={node.nodeId}
|
||||
>{node.nodeName}</span
|
||||
>
|
||||
<div
|
||||
class="flex-1 h-1 bg-exo-medium-gray/30 rounded overflow-hidden"
|
||||
>
|
||||
<div
|
||||
class="h-full transition-all duration-300 {node.status ===
|
||||
'downloading'
|
||||
? 'bg-blue-500/70'
|
||||
: node.status === 'completed'
|
||||
? 'bg-exo-yellow/40'
|
||||
: 'bg-white/20'}"
|
||||
style="width: {node.percentage}%"
|
||||
></div>
|
||||
</div>
|
||||
<span
|
||||
class="text-right {node.status === 'completed'
|
||||
? 'text-exo-yellow/60'
|
||||
: node.status === 'downloading'
|
||||
? 'text-blue-400/60'
|
||||
: 'text-white/30'}"
|
||||
>
|
||||
{#if node.status === "downloading" && node.progress}
|
||||
{Math.round(node.percentage)}% {formatSpeed(
|
||||
node.progress.speed,
|
||||
)}
|
||||
{:else}
|
||||
{node.percentage > 0 ? `${Math.round(node.percentage)}%` : "0%"}
|
||||
{/if}
|
||||
</span>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
{/if}
|
||||
|
||||
@@ -662,15 +687,7 @@
|
||||
{@const allConnections =
|
||||
isDebugMode && usedNodes.length > 1
|
||||
? (() => {
|
||||
const conns: Array<{
|
||||
ip: string;
|
||||
iface: string | null;
|
||||
from: string;
|
||||
to: string;
|
||||
midX: number;
|
||||
midY: number;
|
||||
arrow: string;
|
||||
}> = [];
|
||||
const conns: Array = [];
|
||||
for (let i = 0; i < usedNodes.length; i++) {
|
||||
for (let j = i + 1; j < usedNodes.length; j++) {
|
||||
const n1 = usedNodes[i];
|
||||
@@ -682,7 +699,12 @@
|
||||
const toPos = nodePositions[c.to];
|
||||
const arrow =
|
||||
fromPos && toPos ? getArrow(fromPos, toPos) : "→";
|
||||
conns.push({ ...c, midX, midY, arrow });
|
||||
conns.push({
|
||||
...c,
|
||||
midX,
|
||||
midY,
|
||||
arrow,
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -73,7 +73,7 @@
|
||||
|
||||
<!-- svelte-ignore a11y_no_static_element_interactions -->
|
||||
<div
|
||||
class="filter-popover absolute right-0 top-full mt-2 w-64 bg-exo-dark-gray border border-exo-yellow/10 rounded-lg shadow-xl z-10"
|
||||
class="filter-popover absolute right-0 top-full mt-2 w-64 bg-exo-dark-gray border border-exo-yellow/10 rounded-lg shadow-xl z-20"
|
||||
transition:fly={{ y: -10, duration: 200, easing: cubicOut }}
|
||||
onclick={(e) => e.stopPropagation()}
|
||||
role="dialog"
|
||||
|
||||
@@ -459,6 +459,7 @@
|
||||
"llama",
|
||||
"flux",
|
||||
"qwen-image",
|
||||
"nemotron",
|
||||
];
|
||||
return Array.from(families).sort((a, b) => {
|
||||
const aIdx = familyOrder.indexOf(a);
|
||||
|
||||
@@ -13,3 +13,4 @@ export { default as ModelFilterPopover } from "./ModelFilterPopover.svelte";
|
||||
export { default as ModelPickerGroup } from "./ModelPickerGroup.svelte";
|
||||
export { default as ModelPickerModal } from "./ModelPickerModal.svelte";
|
||||
export { default as ChatModelSelector } from "./ChatModelSelector.svelte";
|
||||
export { default as IntegrationCard } from "./IntegrationCard.svelte";
|
||||
@@ -257,11 +257,12 @@ interface RawStateResponse {
|
||||
}
|
||||
|
||||
export interface MessageAttachment {
|
||||
type: "image" | "text" | "file" | "generated-image";
|
||||
type: "image" | "text" | "file" | "generated-image" | "pdf";
|
||||
name: string;
|
||||
content?: string;
|
||||
preview?: string;
|
||||
mimeType?: string;
|
||||
pageImages?: string[];
|
||||
}
|
||||
|
||||
export interface TopLogprob {
|
||||
@@ -1793,6 +1794,14 @@ class AppStore {
|
||||
this.persistConversation(targetConversationId);
|
||||
}
|
||||
},
|
||||
{
|
||||
generation_stats: (data) => {
|
||||
const stats = data as { generation_tps: number };
|
||||
if (stats.generation_tps > 0) {
|
||||
this.tps = stats.generation_tps;
|
||||
}
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
// Final update
|
||||
@@ -1990,6 +1999,14 @@ class AppStore {
|
||||
this.persistConversation(targetConversationId);
|
||||
}
|
||||
},
|
||||
{
|
||||
generation_stats: (data) => {
|
||||
const stats = data as { generation_tps: number };
|
||||
if (stats.generation_tps > 0) {
|
||||
this.tps = stats.generation_tps;
|
||||
}
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
// Final cleanup of the message (if conversation still exists)
|
||||
@@ -2226,6 +2243,7 @@ class AppStore {
|
||||
type: string;
|
||||
textContent?: string;
|
||||
preview?: string;
|
||||
pageImages?: string[];
|
||||
}[],
|
||||
enableThinking?: boolean | null,
|
||||
): Promise<void> {
|
||||
@@ -2261,6 +2279,20 @@ class AppStore {
|
||||
preview: file.preview,
|
||||
mimeType: file.type,
|
||||
});
|
||||
} else if (
|
||||
file.pageImages ||
|
||||
(file.textContent && file.type === "application/pdf")
|
||||
) {
|
||||
attachments.push({
|
||||
type: "pdf",
|
||||
name: file.name,
|
||||
content: file.textContent,
|
||||
pageImages: file.pageImages,
|
||||
mimeType: file.type,
|
||||
});
|
||||
if (file.textContent) {
|
||||
fileContext += `\n\n[File: ${file.name}]\n\`\`\`\n${file.textContent}\n\`\`\``;
|
||||
}
|
||||
} else if (file.textContent) {
|
||||
attachments.push({
|
||||
type: "text",
|
||||
@@ -2328,13 +2360,70 @@ class AppStore {
|
||||
const apiMessages = [
|
||||
systemPrompt,
|
||||
...targetConversation.messages.slice(0, -1).map((m) => {
|
||||
// Build content including any text file attachments
|
||||
// Check if this message has image or PDF attachments
|
||||
const visualAttachments = m.attachments?.filter(
|
||||
(a) =>
|
||||
(a.type === "image" && a.preview) ||
|
||||
(a.type === "pdf" && a.pageImages?.length),
|
||||
);
|
||||
|
||||
if (visualAttachments && visualAttachments.length > 0) {
|
||||
// Build multimodal content array (OpenAI vision format)
|
||||
const contentParts: Array<
|
||||
| { type: "text"; text: string }
|
||||
| { type: "image_url"; image_url: { url: string } }
|
||||
> = [];
|
||||
|
||||
// Add image parts first
|
||||
for (const att of visualAttachments) {
|
||||
if (att.type === "image" && att.preview) {
|
||||
contentParts.push({
|
||||
type: "image_url",
|
||||
image_url: { url: att.preview },
|
||||
});
|
||||
} else if (att.type === "pdf" && att.pageImages) {
|
||||
for (const pageImg of att.pageImages) {
|
||||
contentParts.push({
|
||||
type: "image_url",
|
||||
image_url: { url: pageImg },
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Build text content including any text/pdf file attachments
|
||||
let textContent = m.content;
|
||||
if (m.attachments) {
|
||||
for (const attachment of m.attachments) {
|
||||
if (
|
||||
(attachment.type === "text" || attachment.type === "pdf") &&
|
||||
attachment.content
|
||||
) {
|
||||
textContent += `\n\n[File: ${attachment.name}]\n\`\`\`\n${attachment.content}\n\`\`\``;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (textContent) {
|
||||
contentParts.push({ type: "text", text: textContent });
|
||||
}
|
||||
|
||||
return {
|
||||
role: m.role,
|
||||
content: contentParts,
|
||||
};
|
||||
}
|
||||
|
||||
// Text-only message (original path)
|
||||
let msgContent = m.content;
|
||||
|
||||
// Add text attachments as context
|
||||
// Add text/pdf attachments as context
|
||||
if (m.attachments) {
|
||||
for (const attachment of m.attachments) {
|
||||
if (attachment.type === "text" && attachment.content) {
|
||||
if (
|
||||
(attachment.type === "text" || attachment.type === "pdf") &&
|
||||
attachment.content
|
||||
) {
|
||||
msgContent += `\n\n[File: ${attachment.name}]\n\`\`\`\n${attachment.content}\n\`\`\``;
|
||||
}
|
||||
}
|
||||
@@ -2397,7 +2486,7 @@ class AppStore {
|
||||
|
||||
let streamedContent = "";
|
||||
let streamedThinking = "";
|
||||
|
||||
let serverTpsReceived = false;
|
||||
interface ChatCompletionChunk {
|
||||
choices?: Array<{
|
||||
delta?: { content?: string; reasoning_content?: string };
|
||||
@@ -2462,7 +2551,6 @@ class AppStore {
|
||||
tokenCount += 1;
|
||||
this.totalTokens = tokenCount;
|
||||
|
||||
// Update real-time TPS during streaming
|
||||
if (firstTokenTime !== null && tokenCount > 1) {
|
||||
const elapsed = performance.now() - firstTokenTime;
|
||||
this.tps = (tokenCount / elapsed) * 1000;
|
||||
@@ -2513,16 +2601,24 @@ class AppStore {
|
||||
startedAt: this.prefillProgress?.startedAt ?? performance.now(),
|
||||
};
|
||||
},
|
||||
generation_stats: (data) => {
|
||||
const stats = data as { generation_tps: number };
|
||||
|
||||
if (stats.generation_tps > 0) {
|
||||
this.tps = stats.generation_tps;
|
||||
serverTpsReceived = true;
|
||||
}
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
// Clear prefill progress after stream ends
|
||||
this.prefillProgress = null;
|
||||
|
||||
// Calculate final TPS
|
||||
if (firstTokenTime !== null && tokenCount > 1) {
|
||||
// Use server-side TPS if available, otherwise fall back to client-side
|
||||
if (!serverTpsReceived && firstTokenTime !== null && tokenCount > 1) {
|
||||
const totalGenerationTime = performance.now() - firstTokenTime;
|
||||
this.tps = (tokenCount / totalGenerationTime) * 1000; // tokens per second
|
||||
this.tps = (tokenCount / totalGenerationTime) * 1000;
|
||||
}
|
||||
|
||||
// Final cleanup of the message (if conversation still exists)
|
||||
@@ -2627,6 +2723,9 @@ class AppStore {
|
||||
this.syncActiveMessagesIfNeeded(targetConversationId);
|
||||
this.saveConversationsToStorage();
|
||||
|
||||
const abortController = new AbortController();
|
||||
this.currentAbortController = abortController;
|
||||
|
||||
try {
|
||||
// Determine the model to use
|
||||
const model = this.getModelForRequest(modelId);
|
||||
@@ -2681,6 +2780,7 @@ class AppStore {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify(requestBody),
|
||||
signal: abortController.signal,
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
@@ -2820,14 +2920,27 @@ class AppStore {
|
||||
);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("Error generating image:", error);
|
||||
this.handleStreamingError(
|
||||
error,
|
||||
targetConversationId,
|
||||
assistantMessage.id,
|
||||
"Failed to generate image",
|
||||
);
|
||||
if (abortController.signal.aborted) {
|
||||
this.updateConversationMessage(
|
||||
targetConversationId,
|
||||
assistantMessage.id,
|
||||
(msg) => {
|
||||
msg.content = "Cancelled";
|
||||
msg.attachments = [];
|
||||
},
|
||||
);
|
||||
this.syncActiveMessagesIfNeeded(targetConversationId);
|
||||
} else {
|
||||
console.error("Error generating image:", error);
|
||||
this.handleStreamingError(
|
||||
error,
|
||||
targetConversationId,
|
||||
assistantMessage.id,
|
||||
"Failed to generate image",
|
||||
);
|
||||
}
|
||||
} finally {
|
||||
this.currentAbortController = null;
|
||||
this.isLoading = false;
|
||||
this.saveConversationsToStorage();
|
||||
}
|
||||
@@ -2891,6 +3004,9 @@ class AppStore {
|
||||
// Clear editing state
|
||||
this.editingImage = null;
|
||||
|
||||
const abortController = new AbortController();
|
||||
this.currentAbortController = abortController;
|
||||
|
||||
try {
|
||||
// Determine the model to use
|
||||
const model = this.getModelForRequest(modelId);
|
||||
@@ -2952,6 +3068,7 @@ class AppStore {
|
||||
const apiResponse = await fetch("/v1/images/edits", {
|
||||
method: "POST",
|
||||
body: formData,
|
||||
signal: abortController.signal,
|
||||
});
|
||||
|
||||
if (!apiResponse.ok) {
|
||||
@@ -3052,14 +3169,27 @@ class AppStore {
|
||||
);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("Error editing image:", error);
|
||||
this.handleStreamingError(
|
||||
error,
|
||||
targetConversationId,
|
||||
assistantMessage.id,
|
||||
"Failed to edit image",
|
||||
);
|
||||
if (abortController.signal.aborted) {
|
||||
this.updateConversationMessage(
|
||||
targetConversationId,
|
||||
assistantMessage.id,
|
||||
(msg) => {
|
||||
msg.content = "Cancelled";
|
||||
msg.attachments = [];
|
||||
},
|
||||
);
|
||||
this.syncActiveMessagesIfNeeded(targetConversationId);
|
||||
} else {
|
||||
console.error("Error editing image:", error);
|
||||
this.handleStreamingError(
|
||||
error,
|
||||
targetConversationId,
|
||||
assistantMessage.id,
|
||||
"Failed to edit image",
|
||||
);
|
||||
}
|
||||
} finally {
|
||||
this.currentAbortController = null;
|
||||
this.isLoading = false;
|
||||
this.saveConversationsToStorage();
|
||||
}
|
||||
@@ -3126,6 +3256,31 @@ class AppStore {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Cancel/pause an active download on a specific node
|
||||
*/
|
||||
async cancelDownload(nodeId: string, modelId: string): Promise<void> {
|
||||
try {
|
||||
const response = await fetch("/download/cancel", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({
|
||||
targetNodeId: nodeId,
|
||||
modelId: modelId,
|
||||
}),
|
||||
});
|
||||
if (!response.ok) {
|
||||
const errorText = await response.text();
|
||||
throw new Error(
|
||||
`Failed to cancel download: ${response.status} - ${errorText}`,
|
||||
);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("Error cancelling download:", error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Delete a downloaded model from a specific node
|
||||
*/
|
||||
@@ -3248,6 +3403,7 @@ export const sendMessage = (
|
||||
type: string;
|
||||
textContent?: string;
|
||||
preview?: string;
|
||||
pageImages?: string[];
|
||||
}[],
|
||||
enableThinking?: boolean | null,
|
||||
) => appStore.sendMessage(content, files, enableThinking);
|
||||
@@ -3346,6 +3502,8 @@ export const resetImageGenerationParams = () =>
|
||||
// Download actions
|
||||
export const startDownload = (nodeId: string, shardMetadata: object) =>
|
||||
appStore.startDownload(nodeId, shardMetadata);
|
||||
export const cancelDownload = (nodeId: string, modelId: string) =>
|
||||
appStore.cancelDownload(nodeId, modelId);
|
||||
export const deleteDownload = (nodeId: string, modelId: string) =>
|
||||
appStore.deleteDownload(nodeId, modelId);
|
||||
|
||||
|
||||
@@ -2,6 +2,15 @@
|
||||
* File attachment types for the chat interface
|
||||
*/
|
||||
|
||||
import { getDocument, GlobalWorkerOptions, version } from "pdfjs-dist";
|
||||
import type { DocumentInitParameters } from "pdfjs-dist/types/src/display/api";
|
||||
|
||||
GlobalWorkerOptions.workerSrc = `https://cdn.jsdelivr.net/npm/pdfjs-dist@${version}/build/pdf.worker.mjs`;
|
||||
|
||||
const PDF_PAGE_SCALE = 2.0;
|
||||
const PDF_MAX_PAGES = 20;
|
||||
const PDF_MAX_TEXT_CHARS = 100_000;
|
||||
|
||||
export interface ChatUploadedFile {
|
||||
id: string;
|
||||
name: string;
|
||||
@@ -10,6 +19,7 @@ export interface ChatUploadedFile {
|
||||
file: File;
|
||||
preview?: string;
|
||||
textContent?: string;
|
||||
pageImages?: string[];
|
||||
}
|
||||
|
||||
export interface ChatAttachment {
|
||||
@@ -194,6 +204,58 @@ export function readFileAsText(file: File): Promise<string> {
|
||||
});
|
||||
}
|
||||
|
||||
async function extractPdfContent(
|
||||
file: File,
|
||||
): Promise<{ text: string; pageImages: string[] }> {
|
||||
const arrayBuffer = await file.arrayBuffer();
|
||||
const pdf = await getDocument({
|
||||
data: new Uint8Array(arrayBuffer),
|
||||
useSystemFonts: true,
|
||||
} as DocumentInitParameters).promise;
|
||||
|
||||
const numPages = Math.min(pdf.numPages, PDF_MAX_PAGES);
|
||||
const pageTexts: string[] = [];
|
||||
const pageImages: string[] = [];
|
||||
|
||||
for (let i = 1; i <= numPages; i++) {
|
||||
const page = await pdf.getPage(i);
|
||||
|
||||
const content = await page.getTextContent();
|
||||
const strings = content.items
|
||||
.filter((item: any) => "str" in item)
|
||||
.map((item: any) => item.str as string);
|
||||
pageTexts.push(strings.join(" "));
|
||||
|
||||
const viewport = page.getViewport({ scale: PDF_PAGE_SCALE });
|
||||
const canvas = new OffscreenCanvas(viewport.width, viewport.height);
|
||||
const ctx = canvas.getContext("2d");
|
||||
if (ctx) {
|
||||
await page.render({ canvasContext: ctx as any, viewport }).promise;
|
||||
const blob = await canvas.convertToBlob({
|
||||
type: "image/jpeg",
|
||||
quality: 0.8,
|
||||
});
|
||||
const reader = new FileReader();
|
||||
const dataUrl = await new Promise<string>((resolve, reject) => {
|
||||
reader.onload = () => resolve(reader.result as string);
|
||||
reader.onerror = () => reject(reader.error);
|
||||
reader.readAsDataURL(blob);
|
||||
});
|
||||
pageImages.push(dataUrl);
|
||||
}
|
||||
}
|
||||
|
||||
let text = pageTexts.join("\n\n").trim();
|
||||
if (text.length > PDF_MAX_TEXT_CHARS) {
|
||||
text = text.slice(0, PDF_MAX_TEXT_CHARS) + "\n\n[truncated]";
|
||||
}
|
||||
if (pdf.numPages > PDF_MAX_PAGES) {
|
||||
text += `\n\n[showing ${PDF_MAX_PAGES} of ${pdf.numPages} pages]`;
|
||||
}
|
||||
|
||||
return { text, pageImages };
|
||||
}
|
||||
|
||||
/**
|
||||
* Process uploaded files into ChatUploadedFile format
|
||||
*/
|
||||
@@ -223,7 +285,12 @@ export async function processUploadedFiles(
|
||||
const textContent = await readFileAsText(file);
|
||||
results.push({ ...base, textContent });
|
||||
} else if (category === "pdf") {
|
||||
results.push(base);
|
||||
const { text, pageImages } = await extractPdfContent(file);
|
||||
results.push({
|
||||
...base,
|
||||
textContent: text || undefined,
|
||||
pageImages: pageImages.length > 0 ? pageImages : undefined,
|
||||
});
|
||||
} else if (category === "audio") {
|
||||
const preview = await readFileAsDataURL(file);
|
||||
results.push({ ...base, preview });
|
||||
|
||||
+225
-247
@@ -42,6 +42,7 @@
|
||||
setSelectedChatModel,
|
||||
selectedChatModel,
|
||||
sendMessage,
|
||||
thinkingEnabled,
|
||||
generateImage,
|
||||
editImage,
|
||||
editingImage,
|
||||
@@ -264,6 +265,7 @@
|
||||
|
||||
let mounted = $state(false);
|
||||
let localNodeId = $state<string | null>(null);
|
||||
let pendingFirefoxQuery = $state<string | null>(null); // ?q= param deferred until state loads
|
||||
|
||||
// ── Onboarding wizard state ──
|
||||
const ONBOARDING_COMPLETE_KEY = "exo-onboarding-complete";
|
||||
@@ -852,7 +854,7 @@
|
||||
) {
|
||||
const model = selectedChatModel();
|
||||
if (!model) {
|
||||
sendMessage(content, files, null);
|
||||
sendMessage(content, files, thinkingEnabled());
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -880,7 +882,7 @@
|
||||
}
|
||||
|
||||
// Default: text chat
|
||||
sendMessage(content, files, null);
|
||||
sendMessage(content, files, thinkingEnabled());
|
||||
}
|
||||
|
||||
let selectedSharding = $state<"Pipeline" | "Tensor">("Pipeline");
|
||||
@@ -1308,6 +1310,20 @@
|
||||
return;
|
||||
}
|
||||
|
||||
// Firefox AI sidebar integration: handle ?q= query parameter
|
||||
// Firefox's built-in AI sidebar (about:config: browser.ml.chat.enabled) sends
|
||||
// the user's prompt as ?q=<URL-encoded prompt> to the configured provider URL.
|
||||
// See: https://support.mozilla.org/en-US/kb/ai-chatbot
|
||||
const queryParam = params.get("q");
|
||||
if (queryParam) {
|
||||
// Clean up the URL to prevent re-submission on page refresh
|
||||
window.history.replaceState({}, "", window.location.pathname);
|
||||
// Defer the auto-send until cluster state is loaded (topologyData,
|
||||
// instances, availableMemory) so that model auto-selection works
|
||||
// correctly. The $effect below will pick this up once data is ready.
|
||||
pendingFirefoxQuery = queryParam;
|
||||
}
|
||||
|
||||
// Check server-side onboarding state (persisted in ~/.exo)
|
||||
try {
|
||||
const res = await fetch("/onboarding");
|
||||
@@ -1328,6 +1344,18 @@
|
||||
}
|
||||
});
|
||||
|
||||
// Deferred Firefox AI sidebar auto-send: wait for cluster state and model
|
||||
// list before submitting. Both data (from /state polling) and models (from
|
||||
// the async /models fetch in onMount) must be loaded for handleAutoSend to
|
||||
// correctly auto-select a model.
|
||||
$effect(() => {
|
||||
if (pendingFirefoxQuery && data && models.length > 0) {
|
||||
const query = pendingFirefoxQuery;
|
||||
pendingFirefoxQuery = null;
|
||||
handleChatSend(query);
|
||||
}
|
||||
});
|
||||
|
||||
async function fetchModels() {
|
||||
try {
|
||||
const response = await fetch("/models");
|
||||
@@ -1535,34 +1563,44 @@
|
||||
}
|
||||
|
||||
// Helper to get download status for a model (checks all downloads for matching model ID)
|
||||
function getModelDownloadStatus(modelId: string): {
|
||||
type NodeDownloadStatus = {
|
||||
nodeId: string;
|
||||
nodeName: string;
|
||||
status: "completed" | "partial" | "pending" | "downloading";
|
||||
percentage: number;
|
||||
progress: DownloadProgress | null;
|
||||
};
|
||||
|
||||
// Shared helper: collect per-node download status for a model across a set of nodes.
|
||||
// Handles deduplication, entry parsing, and aggregation in one place.
|
||||
function collectDownloadStatus(
|
||||
modelId: string,
|
||||
nodeIds?: string[],
|
||||
): {
|
||||
isDownloading: boolean;
|
||||
progress: DownloadProgress | null;
|
||||
perNode: Array<{
|
||||
nodeId: string;
|
||||
nodeName: string;
|
||||
progress: DownloadProgress;
|
||||
}>;
|
||||
perNode: NodeDownloadStatus[];
|
||||
failedError: string | null;
|
||||
} {
|
||||
const empty = {
|
||||
isDownloading: false,
|
||||
progress: null,
|
||||
perNode: [] as NodeDownloadStatus[],
|
||||
failedError: null,
|
||||
};
|
||||
|
||||
if (!downloadsData || Object.keys(downloadsData).length === 0) {
|
||||
return { isDownloading: false, progress: null, perNode: [] };
|
||||
return empty;
|
||||
}
|
||||
|
||||
let totalBytes = 0;
|
||||
let downloadedBytes = 0;
|
||||
let totalSpeed = 0;
|
||||
let completedFiles = 0;
|
||||
let totalFiles = 0;
|
||||
let isDownloading = false;
|
||||
const allFiles: DownloadProgress["files"] = [];
|
||||
const perNode: Array<{
|
||||
nodeId: string;
|
||||
nodeName: string;
|
||||
progress: DownloadProgress;
|
||||
}> = [];
|
||||
// Deduplicate by nodeId — a node can have multiple entries for the same model
|
||||
// (e.g. PipelineShardMetadata + TensorShardMetadata). Keep the last entry,
|
||||
// which is the most recently applied event.
|
||||
const perNodeMap = new Map<string, NodeDownloadStatus>();
|
||||
|
||||
// Check all nodes for downloads matching this model
|
||||
const nodeIdSet = nodeIds ? new Set(nodeIds) : null;
|
||||
for (const [nodeId, nodeDownloads] of Object.entries(downloadsData)) {
|
||||
if (nodeIdSet && !nodeIdSet.has(nodeId)) continue;
|
||||
if (!Array.isArray(nodeDownloads)) continue;
|
||||
|
||||
for (const downloadWrapped of nodeDownloads) {
|
||||
@@ -1575,29 +1613,45 @@
|
||||
const downloadPayload = (downloadWrapped as Record<string, unknown>)[
|
||||
downloadKind
|
||||
] as Record<string, unknown>;
|
||||
|
||||
if (
|
||||
downloadKind !== "DownloadOngoing" &&
|
||||
downloadKind !== "DownloadPending"
|
||||
)
|
||||
continue;
|
||||
if (!downloadPayload) continue;
|
||||
|
||||
const downloadModelId = extractModelIdFromDownload(downloadPayload);
|
||||
if (!downloadModelId || downloadModelId !== modelId) continue;
|
||||
|
||||
// Match if the model ID contains or equals the requested model
|
||||
// (handles cases like "mlx-community/Meta-Llama..." matching)
|
||||
if (
|
||||
!downloadModelId ||
|
||||
!downloadModelId.includes(modelId.split("/").pop() || modelId)
|
||||
) {
|
||||
// Try exact match or partial match
|
||||
if (downloadModelId !== modelId) continue;
|
||||
// DownloadFailed — return with any data collected so far
|
||||
if (downloadKind === "DownloadFailed") {
|
||||
return {
|
||||
isDownloading: false,
|
||||
progress: null,
|
||||
perNode: Array.from(perNodeMap.values()),
|
||||
failedError:
|
||||
(downloadPayload.errorMessage as string) ||
|
||||
(downloadPayload.error_message as string) ||
|
||||
"Download failed",
|
||||
};
|
||||
}
|
||||
|
||||
if (
|
||||
downloadKind !== "DownloadOngoing" &&
|
||||
downloadKind !== "DownloadPending" &&
|
||||
downloadKind !== "DownloadCompleted"
|
||||
)
|
||||
continue;
|
||||
|
||||
const nodeName =
|
||||
data?.nodes?.[nodeId]?.friendly_name ?? nodeId.slice(0, 8);
|
||||
|
||||
if (downloadKind === "DownloadCompleted") {
|
||||
perNodeMap.set(nodeId, {
|
||||
nodeId,
|
||||
nodeName,
|
||||
status: "completed",
|
||||
percentage: 100,
|
||||
progress: null,
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
// For DownloadPending with partial bytes (paused/resumed downloads),
|
||||
// synthesize a progress object from the top-level downloaded/total fields
|
||||
let progress: DownloadProgress | null;
|
||||
if (downloadKind === "DownloadPending") {
|
||||
const pendingDownloaded = getBytes(
|
||||
downloadPayload.downloaded ??
|
||||
@@ -1610,44 +1664,67 @@
|
||||
downloadPayload.totalBytes,
|
||||
);
|
||||
if (pendingDownloaded <= 0 && pendingTotal <= 0) continue;
|
||||
isDownloading = true;
|
||||
progress = {
|
||||
totalBytes: pendingTotal,
|
||||
downloadedBytes: pendingDownloaded,
|
||||
speed: 0,
|
||||
etaMs: 0,
|
||||
percentage:
|
||||
pendingTotal > 0 ? (pendingDownloaded / pendingTotal) * 100 : 0,
|
||||
completedFiles: 0,
|
||||
totalFiles: 0,
|
||||
files: [],
|
||||
};
|
||||
} else {
|
||||
isDownloading = true;
|
||||
progress = parseDownloadProgress(downloadPayload);
|
||||
const pct =
|
||||
pendingTotal > 0 ? (pendingDownloaded / pendingTotal) * 100 : 0;
|
||||
perNodeMap.set(nodeId, {
|
||||
nodeId,
|
||||
nodeName,
|
||||
status: pendingDownloaded > 0 ? "partial" : "pending",
|
||||
percentage: pct,
|
||||
progress: null,
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
if (progress) {
|
||||
// Sum all values across nodes - each node downloads independently
|
||||
totalBytes += progress.totalBytes;
|
||||
downloadedBytes += progress.downloadedBytes;
|
||||
totalSpeed += progress.speed;
|
||||
completedFiles += progress.completedFiles;
|
||||
totalFiles += progress.totalFiles;
|
||||
allFiles.push(...progress.files);
|
||||
// DownloadOngoing
|
||||
const progress = parseDownloadProgress(downloadPayload);
|
||||
if (
|
||||
!progress ||
|
||||
(progress.downloadedBytes <= 0 && progress.totalBytes <= 0)
|
||||
)
|
||||
continue;
|
||||
|
||||
const nodeName =
|
||||
data?.nodes?.[nodeId]?.friendly_name ?? nodeId.slice(0, 8);
|
||||
perNode.push({ nodeId, nodeName, progress });
|
||||
}
|
||||
perNodeMap.set(nodeId, {
|
||||
nodeId,
|
||||
nodeName,
|
||||
status: "downloading",
|
||||
percentage: progress.percentage,
|
||||
progress,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Aggregate from deduplicated per-node entries
|
||||
const perNode = Array.from(perNodeMap.values());
|
||||
let totalBytes = 0;
|
||||
let downloadedBytes = 0;
|
||||
let totalSpeed = 0;
|
||||
let completedFiles = 0;
|
||||
let totalFiles = 0;
|
||||
let isDownloading = false;
|
||||
const allFiles: DownloadProgress["files"] = [];
|
||||
|
||||
for (const node of perNode) {
|
||||
if (node.status === "downloading" && node.progress) {
|
||||
isDownloading = true;
|
||||
totalBytes += node.progress.totalBytes;
|
||||
downloadedBytes += node.progress.downloadedBytes;
|
||||
totalSpeed += node.progress.speed;
|
||||
completedFiles += node.progress.completedFiles;
|
||||
totalFiles += node.progress.totalFiles;
|
||||
allFiles.push(...node.progress.files);
|
||||
}
|
||||
}
|
||||
|
||||
if (!isDownloading) {
|
||||
return { isDownloading: false, progress: null, perNode: [] };
|
||||
return {
|
||||
isDownloading: false,
|
||||
progress: null,
|
||||
perNode,
|
||||
failedError: null,
|
||||
};
|
||||
}
|
||||
|
||||
// ETA = total remaining bytes / total speed across all nodes
|
||||
const remainingBytes = totalBytes - downloadedBytes;
|
||||
const etaMs = totalSpeed > 0 ? (remainingBytes / totalSpeed) * 1000 : 0;
|
||||
|
||||
@@ -1664,9 +1741,21 @@
|
||||
files: allFiles,
|
||||
},
|
||||
perNode,
|
||||
failedError: null,
|
||||
};
|
||||
}
|
||||
|
||||
function getModelDownloadStatus(
|
||||
modelId: string,
|
||||
nodeIds?: string[],
|
||||
): {
|
||||
isDownloading: boolean;
|
||||
progress: DownloadProgress | null;
|
||||
perNode: NodeDownloadStatus[];
|
||||
} {
|
||||
return collectDownloadStatus(modelId, nodeIds);
|
||||
}
|
||||
|
||||
// Helper to get download status for an instance
|
||||
function getInstanceDownloadStatus(
|
||||
instanceId: string,
|
||||
@@ -1677,26 +1766,9 @@
|
||||
errorMessage: string | null;
|
||||
progress: DownloadProgress | null;
|
||||
statusText: string;
|
||||
perNode: Array<{
|
||||
nodeId: string;
|
||||
nodeName: string;
|
||||
progress: DownloadProgress;
|
||||
}>;
|
||||
perNode: NodeDownloadStatus[];
|
||||
} {
|
||||
if (!downloadsData || Object.keys(downloadsData).length === 0) {
|
||||
// No download data yet — defer to runner status instead of assuming RUNNING
|
||||
const statusInfo = deriveInstanceStatus(instanceWrapped);
|
||||
return {
|
||||
isDownloading: false,
|
||||
isFailed: false,
|
||||
errorMessage: null,
|
||||
progress: null,
|
||||
statusText: statusInfo.statusText,
|
||||
perNode: [],
|
||||
};
|
||||
}
|
||||
|
||||
// Unwrap the instance
|
||||
// Unwrap the instance to get shard assignments
|
||||
const [instanceTag, instance] = getTagged(instanceWrapped);
|
||||
if (!instance || typeof instance !== "object") {
|
||||
return {
|
||||
@@ -1716,132 +1788,9 @@
|
||||
modelId?: string;
|
||||
};
|
||||
};
|
||||
const nodeToRunner = inst.shardAssignments?.nodeToRunner || {};
|
||||
const runnerToShard = inst.shardAssignments?.runnerToShard || {};
|
||||
const instanceModelId = inst.shardAssignments?.modelId;
|
||||
|
||||
// Build reverse mapping: runnerId -> nodeId
|
||||
const runnerToNode: Record<string, string> = {};
|
||||
for (const [nodeId, runnerId] of Object.entries(nodeToRunner)) {
|
||||
runnerToNode[runnerId] = nodeId;
|
||||
}
|
||||
|
||||
let totalBytes = 0;
|
||||
let downloadedBytes = 0;
|
||||
let totalSpeed = 0;
|
||||
let completedFiles = 0;
|
||||
let totalFiles = 0;
|
||||
let isDownloading = false;
|
||||
const allFiles: DownloadProgress["files"] = [];
|
||||
const perNode: Array<{
|
||||
nodeId: string;
|
||||
nodeName: string;
|
||||
progress: DownloadProgress;
|
||||
}> = [];
|
||||
|
||||
// Check downloads for nodes that are part of this instance
|
||||
for (const runnerId of Object.keys(runnerToShard)) {
|
||||
const nodeId = runnerToNode[runnerId];
|
||||
if (!nodeId) continue;
|
||||
|
||||
const nodeDownloads = downloadsData[nodeId];
|
||||
if (!Array.isArray(nodeDownloads)) continue;
|
||||
|
||||
for (const downloadWrapped of nodeDownloads) {
|
||||
if (!downloadWrapped || typeof downloadWrapped !== "object") continue;
|
||||
|
||||
const keys = Object.keys(downloadWrapped as Record<string, unknown>);
|
||||
if (keys.length !== 1) continue;
|
||||
|
||||
const downloadKind = keys[0];
|
||||
const downloadPayload = (downloadWrapped as Record<string, unknown>)[
|
||||
downloadKind
|
||||
] as Record<string, unknown>;
|
||||
|
||||
// Handle DownloadFailed - return immediately with error info
|
||||
if (downloadKind === "DownloadFailed") {
|
||||
const downloadModelId = extractModelIdFromDownload(downloadPayload);
|
||||
if (
|
||||
instanceModelId &&
|
||||
downloadModelId &&
|
||||
downloadModelId === instanceModelId
|
||||
) {
|
||||
return {
|
||||
isDownloading: false,
|
||||
isFailed: true,
|
||||
errorMessage:
|
||||
(downloadPayload.errorMessage as string) || "Download failed",
|
||||
progress: null,
|
||||
statusText: "FAILED",
|
||||
perNode: [],
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
if (
|
||||
downloadKind !== "DownloadOngoing" &&
|
||||
downloadKind !== "DownloadPending"
|
||||
)
|
||||
continue;
|
||||
if (!downloadPayload) continue;
|
||||
|
||||
// Check if this download is for this instance's model
|
||||
const downloadModelId = extractModelIdFromDownload(downloadPayload);
|
||||
if (
|
||||
instanceModelId &&
|
||||
downloadModelId &&
|
||||
downloadModelId === instanceModelId
|
||||
) {
|
||||
// For DownloadPending with partial bytes, synthesize progress
|
||||
let progress: DownloadProgress | null;
|
||||
if (downloadKind === "DownloadPending") {
|
||||
const pendingDownloaded = getBytes(
|
||||
downloadPayload.downloaded ??
|
||||
downloadPayload.downloaded_bytes ??
|
||||
downloadPayload.downloadedBytes,
|
||||
);
|
||||
const pendingTotal = getBytes(
|
||||
downloadPayload.total ??
|
||||
downloadPayload.total_bytes ??
|
||||
downloadPayload.totalBytes,
|
||||
);
|
||||
if (pendingDownloaded <= 0 && pendingTotal <= 0) continue;
|
||||
isDownloading = true;
|
||||
progress = {
|
||||
totalBytes: pendingTotal,
|
||||
downloadedBytes: pendingDownloaded,
|
||||
speed: 0,
|
||||
etaMs: 0,
|
||||
percentage:
|
||||
pendingTotal > 0 ? (pendingDownloaded / pendingTotal) * 100 : 0,
|
||||
completedFiles: 0,
|
||||
totalFiles: 0,
|
||||
files: [],
|
||||
};
|
||||
} else {
|
||||
isDownloading = true;
|
||||
progress = parseDownloadProgress(downloadPayload);
|
||||
}
|
||||
|
||||
if (progress) {
|
||||
// Sum all values across nodes - each node downloads independently
|
||||
totalBytes += progress.totalBytes;
|
||||
downloadedBytes += progress.downloadedBytes;
|
||||
totalSpeed += progress.speed;
|
||||
completedFiles += progress.completedFiles;
|
||||
totalFiles += progress.totalFiles;
|
||||
allFiles.push(...progress.files);
|
||||
|
||||
const nodeName =
|
||||
data?.nodes?.[nodeId]?.friendly_name ?? nodeId.slice(0, 8);
|
||||
perNode.push({ nodeId, nodeName, progress });
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!isDownloading) {
|
||||
// Check runner status for other states
|
||||
if (!instanceModelId) {
|
||||
const statusInfo = deriveInstanceStatus(instanceWrapped);
|
||||
return {
|
||||
isDownloading: false,
|
||||
@@ -1853,26 +1802,49 @@
|
||||
};
|
||||
}
|
||||
|
||||
// ETA = total remaining bytes / total speed across all nodes
|
||||
const remainingBytes = totalBytes - downloadedBytes;
|
||||
const etaMs = totalSpeed > 0 ? (remainingBytes / totalSpeed) * 1000 : 0;
|
||||
// Get node IDs assigned to this instance
|
||||
const nodeToRunner = inst.shardAssignments?.nodeToRunner || {};
|
||||
const runnerToShard = inst.shardAssignments?.runnerToShard || {};
|
||||
const runnerToNode: Record<string, string> = {};
|
||||
for (const [nodeId, runnerId] of Object.entries(nodeToRunner)) {
|
||||
runnerToNode[runnerId] = nodeId;
|
||||
}
|
||||
const instanceNodeIds = Object.keys(runnerToShard)
|
||||
.map((runnerId) => runnerToNode[runnerId])
|
||||
.filter(Boolean);
|
||||
|
||||
const result = collectDownloadStatus(instanceModelId, instanceNodeIds);
|
||||
|
||||
if (result.failedError) {
|
||||
return {
|
||||
isDownloading: false,
|
||||
isFailed: true,
|
||||
errorMessage: result.failedError,
|
||||
progress: null,
|
||||
statusText: "FAILED",
|
||||
perNode: [],
|
||||
};
|
||||
}
|
||||
|
||||
if (!result.isDownloading) {
|
||||
const statusInfo = deriveInstanceStatus(instanceWrapped);
|
||||
return {
|
||||
isDownloading: false,
|
||||
isFailed: statusInfo.statusText === "FAILED",
|
||||
errorMessage: null,
|
||||
progress: null,
|
||||
statusText: statusInfo.statusText,
|
||||
perNode: result.perNode,
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
isDownloading: true,
|
||||
isFailed: false,
|
||||
errorMessage: null,
|
||||
progress: {
|
||||
totalBytes,
|
||||
downloadedBytes,
|
||||
speed: totalSpeed,
|
||||
etaMs,
|
||||
percentage: totalBytes > 0 ? (downloadedBytes / totalBytes) * 100 : 0,
|
||||
completedFiles,
|
||||
totalFiles,
|
||||
files: allFiles,
|
||||
},
|
||||
progress: result.progress,
|
||||
statusText: "DOWNLOADING",
|
||||
perNode,
|
||||
perNode: result.perNode,
|
||||
};
|
||||
}
|
||||
|
||||
@@ -4630,7 +4602,7 @@
|
||||
type="button"
|
||||
onclick={() => {
|
||||
completeOnboarding();
|
||||
sendMessage(chip);
|
||||
sendMessage(chip, undefined, thinkingEnabled());
|
||||
}}
|
||||
class="px-4 py-2 rounded-full border border-white/10 bg-white/5 text-sm text-white/60 hover:bg-white/10 hover:text-white/80 hover:border-white/20 transition-all duration-200 cursor-pointer"
|
||||
>
|
||||
@@ -5369,10 +5341,10 @@
|
||||
<div
|
||||
class="mt-2 space-y-2 max-h-48 overflow-y-auto pr-1"
|
||||
>
|
||||
{#each downloadInfo.perNode as nodeProg}
|
||||
{#each downloadInfo.perNode.filter((n) => n.status === "downloading" && n.progress) as nodeProg}
|
||||
{@const nodePercent = Math.min(
|
||||
100,
|
||||
Math.max(0, nodeProg.progress.percentage),
|
||||
Math.max(0, nodeProg.percentage),
|
||||
)}
|
||||
{@const isExpanded =
|
||||
instanceDownloadExpandedNodes.has(
|
||||
@@ -5428,15 +5400,17 @@
|
||||
>
|
||||
<span
|
||||
>{formatBytes(
|
||||
nodeProg.progress.downloadedBytes,
|
||||
nodeProg.progress?.downloadedBytes ??
|
||||
0,
|
||||
)} / {formatBytes(
|
||||
nodeProg.progress.totalBytes,
|
||||
nodeProg.progress?.totalBytes ?? 0,
|
||||
)}</span
|
||||
>
|
||||
<span
|
||||
>{formatSpeed(nodeProg.progress.speed)} •
|
||||
ETA {formatEta(
|
||||
nodeProg.progress.etaMs,
|
||||
>{formatSpeed(
|
||||
nodeProg.progress?.speed ?? 0,
|
||||
)} • ETA {formatEta(
|
||||
nodeProg.progress?.etaMs ?? 0,
|
||||
)}</span
|
||||
>
|
||||
</div>
|
||||
@@ -5444,14 +5418,14 @@
|
||||
|
||||
{#if isExpanded}
|
||||
<div class="mt-2 space-y-1.5">
|
||||
{#if nodeProg.progress.files.length === 0}
|
||||
{#if nodeProg.progress?.files ?? [].length === 0}
|
||||
<div
|
||||
class="text-[11px] font-mono text-exo-light-gray/70"
|
||||
>
|
||||
No file details reported.
|
||||
</div>
|
||||
{:else}
|
||||
{#each nodeProg.progress.files as f}
|
||||
{#each nodeProg.progress?.files ?? [] as f}
|
||||
{@const filePercent = Math.min(
|
||||
100,
|
||||
Math.max(0, f.percentage ?? 0),
|
||||
@@ -5927,12 +5901,15 @@
|
||||
)}
|
||||
{@const allPreviews = filteredPreviews()}
|
||||
{#if selectedModel && allPreviews.length > 0}
|
||||
{@const downloadStatus = getModelDownloadStatus(
|
||||
selectedModel.id,
|
||||
)}
|
||||
{@const tags = modelTags()[selectedModel.id] || []}
|
||||
<div class="space-y-3">
|
||||
{#each allPreviews as apiPreview, i}
|
||||
{@const downloadStatus = getModelDownloadStatus(
|
||||
selectedModel.id,
|
||||
apiPreview.memory_delta_by_node
|
||||
? Object.keys(apiPreview.memory_delta_by_node)
|
||||
: undefined,
|
||||
)}
|
||||
<div
|
||||
role="group"
|
||||
onmouseenter={() => {
|
||||
@@ -6120,7 +6097,7 @@
|
||||
onclick={() => {
|
||||
chatLaunchState = "idle";
|
||||
selectedChatCategory = null;
|
||||
sendMessage(prompt);
|
||||
sendMessage(prompt, undefined, thinkingEnabled());
|
||||
}}
|
||||
class="text-left px-3 py-2.5 text-xs text-exo-light-gray hover:text-white font-mono rounded-lg border border-exo-medium-gray/30 hover:border-exo-yellow/30 bg-exo-dark-gray/30 hover:bg-exo-dark-gray/60 transition-all duration-200 cursor-pointer"
|
||||
>
|
||||
@@ -6503,10 +6480,10 @@
|
||||
<div
|
||||
class="mt-2 space-y-2 max-h-48 overflow-y-auto pr-1"
|
||||
>
|
||||
{#each downloadInfo.perNode as nodeProg}
|
||||
{#each downloadInfo.perNode.filter((n) => n.status === "downloading" && n.progress) as nodeProg}
|
||||
{@const nodePercent = Math.min(
|
||||
100,
|
||||
Math.max(0, nodeProg.progress.percentage),
|
||||
Math.max(0, nodeProg.percentage),
|
||||
)}
|
||||
{@const isExpanded =
|
||||
instanceDownloadExpandedNodes.has(
|
||||
@@ -6565,16 +6542,17 @@
|
||||
>
|
||||
<span
|
||||
>{formatBytes(
|
||||
nodeProg.progress.downloadedBytes,
|
||||
nodeProg.progress
|
||||
?.downloadedBytes ?? 0,
|
||||
)} / {formatBytes(
|
||||
nodeProg.progress.totalBytes,
|
||||
nodeProg.progress?.totalBytes ?? 0,
|
||||
)}</span
|
||||
>
|
||||
<span
|
||||
>{formatSpeed(
|
||||
nodeProg.progress.speed,
|
||||
nodeProg.progress?.speed ?? 0,
|
||||
)} • ETA {formatEta(
|
||||
nodeProg.progress.etaMs,
|
||||
nodeProg.progress?.etaMs ?? 0,
|
||||
)}</span
|
||||
>
|
||||
</div>
|
||||
@@ -6582,14 +6560,14 @@
|
||||
|
||||
{#if isExpanded}
|
||||
<div class="mt-2 space-y-1.5">
|
||||
{#if nodeProg.progress.files.length === 0}
|
||||
{#if nodeProg.progress?.files ?? [].length === 0}
|
||||
<div
|
||||
class="text-[11px] font-mono text-exo-light-gray/70"
|
||||
>
|
||||
No file details reported.
|
||||
</div>
|
||||
{:else}
|
||||
{#each nodeProg.progress.files as f}
|
||||
{#each nodeProg.progress?.files ?? [] as f}
|
||||
{@const filePercent = Math.min(
|
||||
100,
|
||||
Math.max(0, f.percentage ?? 0),
|
||||
|
||||
@@ -9,6 +9,7 @@
|
||||
refreshState,
|
||||
lastUpdate as lastUpdateStore,
|
||||
startDownload,
|
||||
cancelDownload,
|
||||
deleteDownload,
|
||||
} from "$lib/stores/app.svelte";
|
||||
import {
|
||||
@@ -349,6 +350,59 @@
|
||||
});
|
||||
</script>
|
||||
|
||||
{#snippet trashIcon()}
|
||||
<svg
|
||||
class="w-5 h-5"
|
||||
viewBox="0 0 20 20"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
>
|
||||
<path
|
||||
d="M4 6h12M8 6V4h4v2m1 0v10a1 1 0 01-1 1H8a1 1 0 01-1-1V6h6"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
></path>
|
||||
</svg>
|
||||
{/snippet}
|
||||
|
||||
{#snippet downloadIcon(size?: string)}
|
||||
<svg
|
||||
class={size ?? "w-5 h-5"}
|
||||
viewBox="0 0 20 20"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
>
|
||||
<path
|
||||
d="M10 3v10m0 0l-3-3m3 3l3-3M3 17h14"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
></path>
|
||||
</svg>
|
||||
{/snippet}
|
||||
|
||||
{#snippet pauseIcon()}
|
||||
<svg class="w-5 h-5" viewBox="0 0 20 20" fill="currentColor">
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
d="M6 4h2v12H6V4zm6 0h2v12h-2V4z"
|
||||
clip-rule="evenodd"
|
||||
></path>
|
||||
</svg>
|
||||
{/snippet}
|
||||
|
||||
{#snippet deleteButton(nodeId: string, modelId: string)}
|
||||
<button
|
||||
type="button"
|
||||
class="text-white/50 hover:text-red-400 transition-colors cursor-pointer"
|
||||
onclick={() => deleteDownload(nodeId, modelId)}
|
||||
title="Delete from this node"
|
||||
>
|
||||
{@render trashIcon()}
|
||||
</button>
|
||||
{/snippet}
|
||||
|
||||
<div class="min-h-screen bg-exo-dark-gray text-white">
|
||||
<HeaderNav showHome={true} />
|
||||
<div class="max-w-7xl mx-auto px-4 lg:px-8 py-6 space-y-6">
|
||||
@@ -486,27 +540,7 @@
|
||||
<span class="text-xs text-white/70"
|
||||
>{formatBytes(cell.totalBytes)}</span
|
||||
>
|
||||
<button
|
||||
type="button"
|
||||
class="text-white/50 hover:text-red-400 transition-colors mt-0.5 cursor-pointer"
|
||||
onclick={() =>
|
||||
deleteDownload(col.nodeId, row.modelId)}
|
||||
title="Delete from this node"
|
||||
>
|
||||
<svg
|
||||
class="w-5 h-5"
|
||||
viewBox="0 0 20 20"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
>
|
||||
<path
|
||||
d="M4 6h12M8 6V4h4v2m1 0v10a1 1 0 01-1 1H8a1 1 0 01-1-1V6h6"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
></path>
|
||||
</svg>
|
||||
</button>
|
||||
{@render deleteButton(col.nodeId, row.modelId)}
|
||||
</div>
|
||||
{:else if cell.kind === "downloading"}
|
||||
<div
|
||||
@@ -533,6 +567,18 @@
|
||||
<span class="text-[10px] text-white/70"
|
||||
>{formatSpeed(cell.speed)}</span
|
||||
>
|
||||
<div class="flex gap-1 mt-0.5">
|
||||
<button
|
||||
type="button"
|
||||
class="text-white/50 hover:text-exo-yellow transition-colors cursor-pointer"
|
||||
onclick={() =>
|
||||
cancelDownload(col.nodeId, row.modelId)}
|
||||
title="Pause download"
|
||||
>
|
||||
{@render pauseIcon()}
|
||||
</button>
|
||||
{@render deleteButton(col.nodeId, row.modelId)}
|
||||
</div>
|
||||
</div>
|
||||
{:else if cell.kind === "pending"}
|
||||
<div
|
||||
@@ -558,32 +604,24 @@
|
||||
).toFixed(1)}%"
|
||||
></div>
|
||||
</div>
|
||||
{#if row.shardMetadata}
|
||||
<button
|
||||
type="button"
|
||||
class="text-white/50 hover:text-exo-yellow transition-colors cursor-pointer"
|
||||
onclick={() =>
|
||||
startDownload(col.nodeId, row.shardMetadata!)}
|
||||
title="Resume download on this node"
|
||||
>
|
||||
<svg
|
||||
class="w-5 h-5"
|
||||
viewBox="0 0 20 20"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
<div class="flex gap-1">
|
||||
{#if row.shardMetadata}
|
||||
<button
|
||||
type="button"
|
||||
class="text-white/50 hover:text-exo-yellow transition-colors cursor-pointer"
|
||||
onclick={() =>
|
||||
startDownload(col.nodeId, row.shardMetadata!)}
|
||||
title="Resume download on this node"
|
||||
>
|
||||
<path
|
||||
d="M10 3v10m0 0l-3-3m3 3l3-3M3 17h14"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
></path>
|
||||
</svg>
|
||||
</button>
|
||||
{:else}
|
||||
<span class="text-white/50 text-[10px]">paused</span
|
||||
>
|
||||
{/if}
|
||||
{@render downloadIcon()}
|
||||
</button>
|
||||
{:else}
|
||||
<span class="text-white/50 text-[10px]"
|
||||
>paused</span
|
||||
>
|
||||
{/if}
|
||||
{@render deleteButton(col.nodeId, row.modelId)}
|
||||
</div>
|
||||
{:else if row.shardMetadata}
|
||||
<button
|
||||
type="button"
|
||||
@@ -592,19 +630,7 @@
|
||||
startDownload(col.nodeId, row.shardMetadata!)}
|
||||
title="Start download on this node"
|
||||
>
|
||||
<svg
|
||||
class="w-6 h-6"
|
||||
viewBox="0 0 20 20"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
>
|
||||
<path
|
||||
d="M10 3v10m0 0l-3-3m3 3l3-3M3 17h14"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
></path>
|
||||
</svg>
|
||||
{@render downloadIcon("w-6 h-6")}
|
||||
</button>
|
||||
{:else}
|
||||
<span class="text-white/40 text-sm">...</span>
|
||||
@@ -626,29 +652,20 @@
|
||||
clip-rule="evenodd"
|
||||
></path>
|
||||
</svg>
|
||||
{#if row.shardMetadata}
|
||||
<button
|
||||
type="button"
|
||||
class="text-white/50 hover:text-exo-yellow transition-colors cursor-pointer"
|
||||
onclick={() =>
|
||||
startDownload(col.nodeId, row.shardMetadata!)}
|
||||
title="Retry download on this node"
|
||||
>
|
||||
<svg
|
||||
class="w-5 h-5"
|
||||
viewBox="0 0 20 20"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
<div class="flex gap-1">
|
||||
{#if row.shardMetadata}
|
||||
<button
|
||||
type="button"
|
||||
class="text-white/50 hover:text-exo-yellow transition-colors cursor-pointer"
|
||||
onclick={() =>
|
||||
startDownload(col.nodeId, row.shardMetadata!)}
|
||||
title="Retry download on this node"
|
||||
>
|
||||
<path
|
||||
d="M10 3v10m0 0l-3-3m3 3l3-3M3 17h14"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
></path>
|
||||
</svg>
|
||||
</button>
|
||||
{/if}
|
||||
{@render downloadIcon()}
|
||||
</button>
|
||||
{/if}
|
||||
{@render deleteButton(col.nodeId, row.modelId)}
|
||||
</div>
|
||||
</div>
|
||||
{:else}
|
||||
<div
|
||||
@@ -666,19 +683,7 @@
|
||||
startDownload(col.nodeId, row.shardMetadata!)}
|
||||
title="Download to this node"
|
||||
>
|
||||
<svg
|
||||
class="w-5 h-5"
|
||||
viewBox="0 0 20 20"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
stroke-width="2"
|
||||
>
|
||||
<path
|
||||
d="M10 3v10m0 0l-3-3m3 3l3-3M3 17h14"
|
||||
stroke-linecap="round"
|
||||
stroke-linejoin="round"
|
||||
></path>
|
||||
</svg>
|
||||
{@render downloadIcon()}
|
||||
</button>
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
@@ -0,0 +1,577 @@
|
||||
<script lang="ts">
|
||||
import { browser } from "$app/environment";
|
||||
import { fade } from "svelte/transition";
|
||||
import HeaderNav from "$lib/components/HeaderNav.svelte";
|
||||
import IntegrationCard from "$lib/components/IntegrationCard.svelte";
|
||||
import { instances, refreshState } from "$lib/stores/app.svelte";
|
||||
import { onMount } from "svelte";
|
||||
|
||||
const apiUrl = browser
|
||||
? window.location.origin.replace("localhost", "127.0.0.1")
|
||||
: "http://127.0.0.1:52415";
|
||||
|
||||
const instancesData = $derived(instances());
|
||||
|
||||
let modelCapabilities = $state<Record<string, string[]>>({});
|
||||
let modelContextLengths = $state<Record<string, number>>({});
|
||||
|
||||
const runningModels = $derived.by(() => {
|
||||
const models: string[] = [];
|
||||
for (const [, wrapper] of Object.entries(instancesData)) {
|
||||
if (wrapper && typeof wrapper === "object") {
|
||||
const values = Object.values(wrapper as Record<string, unknown>);
|
||||
if (values.length > 0) {
|
||||
const instance = values[0];
|
||||
if (instance && typeof instance === "object") {
|
||||
const inst = instance as {
|
||||
shardAssignments?: { modelId?: string };
|
||||
};
|
||||
const modelId = inst.shardAssignments?.modelId;
|
||||
if (modelId && !models.includes(modelId)) {
|
||||
models.push(modelId);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return models;
|
||||
});
|
||||
|
||||
function estimateParamSize(modelId: string): number {
|
||||
const match = modelId.match(/(\d+(?:\.\d+)?)[Bb]/);
|
||||
return match ? parseFloat(match[1]) : 0;
|
||||
}
|
||||
|
||||
const modelsBySize = $derived(
|
||||
[...runningModels].sort(
|
||||
(a, b) => estimateParamSize(b) - estimateParamSize(a),
|
||||
),
|
||||
);
|
||||
|
||||
const defaultTiers = $derived.by(() => {
|
||||
const n = modelsBySize.length;
|
||||
if (n === 0)
|
||||
return {
|
||||
opus: "your-model-id",
|
||||
sonnet: "your-model-id",
|
||||
haiku: "your-model-id",
|
||||
};
|
||||
if (n === 1)
|
||||
return {
|
||||
opus: modelsBySize[0],
|
||||
sonnet: modelsBySize[0],
|
||||
haiku: modelsBySize[0],
|
||||
};
|
||||
if (n === 2)
|
||||
return {
|
||||
opus: modelsBySize[0],
|
||||
sonnet: modelsBySize[1],
|
||||
haiku: modelsBySize[1],
|
||||
};
|
||||
return {
|
||||
opus: modelsBySize[0],
|
||||
sonnet: modelsBySize[Math.floor(n / 2)],
|
||||
haiku: modelsBySize[n - 1],
|
||||
};
|
||||
});
|
||||
|
||||
let opusModel = $state("");
|
||||
let sonnetModel = $state("");
|
||||
let haikuModel = $state("");
|
||||
|
||||
$effect(() => {
|
||||
opusModel = defaultTiers.opus;
|
||||
sonnetModel = defaultTiers.sonnet;
|
||||
haikuModel = defaultTiers.haiku;
|
||||
});
|
||||
|
||||
let codexModel = $state("");
|
||||
let codexMcpPath = $state("/Users/username");
|
||||
let openClawModel = $state("");
|
||||
$effect(() => {
|
||||
const def = modelsBySize.length > 0 ? modelsBySize[0] : "your-model-id";
|
||||
codexModel = def;
|
||||
openClawModel = def;
|
||||
});
|
||||
|
||||
const claudeShellCommand = $derived(
|
||||
[
|
||||
`ANTHROPIC_BASE_URL=${apiUrl} \\`,
|
||||
`ANTHROPIC_API_KEY=x \\`,
|
||||
`ANTHROPIC_DEFAULT_OPUS_MODEL=${opusModel} \\`,
|
||||
`ANTHROPIC_DEFAULT_SONNET_MODEL=${sonnetModel} \\`,
|
||||
`ANTHROPIC_DEFAULT_HAIKU_MODEL=${haikuModel} \\`,
|
||||
`API_TIMEOUT_MS=3000000 \\`,
|
||||
`CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1 \\`,
|
||||
`claude`,
|
||||
].join("\n"),
|
||||
);
|
||||
|
||||
const claudeSettingsJson = $derived(
|
||||
JSON.stringify(
|
||||
{
|
||||
env: {
|
||||
ANTHROPIC_BASE_URL: apiUrl,
|
||||
ANTHROPIC_API_KEY: "x",
|
||||
ANTHROPIC_DEFAULT_OPUS_MODEL: opusModel,
|
||||
ANTHROPIC_DEFAULT_SONNET_MODEL: sonnetModel,
|
||||
ANTHROPIC_DEFAULT_HAIKU_MODEL: haikuModel,
|
||||
API_TIMEOUT_MS: "3000000",
|
||||
CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC: "1",
|
||||
},
|
||||
},
|
||||
null,
|
||||
2,
|
||||
),
|
||||
);
|
||||
|
||||
const openCodeConfig = $derived.by(() => {
|
||||
const models: Record<string, Record<string, unknown>> = {};
|
||||
for (const modelId of runningModels) {
|
||||
const caps = modelCapabilities[modelId] || [];
|
||||
const ctxLen = modelContextLengths[modelId] || 0;
|
||||
const entry: Record<string, unknown> = { name: modelId };
|
||||
if (ctxLen > 0) {
|
||||
entry.limit = { context: ctxLen, output: Math.min(ctxLen, 16384) };
|
||||
}
|
||||
if (caps.includes("vision")) {
|
||||
entry.modalities = { input: ["text", "image"], output: ["text"] };
|
||||
}
|
||||
models[modelId] = entry;
|
||||
}
|
||||
if (Object.keys(models).length === 0) {
|
||||
models["your-model-id"] = { name: "your-model-name" };
|
||||
}
|
||||
const firstModel =
|
||||
runningModels.length > 0 ? runningModels[0] : "your-model-id";
|
||||
return JSON.stringify(
|
||||
{
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
provider: {
|
||||
exo: {
|
||||
npm: "@ai-sdk/openai-compatible",
|
||||
name: "exo",
|
||||
options: {
|
||||
baseURL: `${apiUrl}/v1`,
|
||||
apiKey: "x",
|
||||
},
|
||||
models,
|
||||
},
|
||||
},
|
||||
model: `exo/${firstModel}`,
|
||||
},
|
||||
null,
|
||||
2,
|
||||
);
|
||||
});
|
||||
|
||||
const codexShellCommand = $derived(`EXO_API_KEY=x npx @openai/codex`);
|
||||
|
||||
const codexConfig = $derived(
|
||||
[
|
||||
`model = "${codexModel}"`,
|
||||
`model_provider = "exo"`,
|
||||
``,
|
||||
`[model_providers.exo]`,
|
||||
`name = "exo"`,
|
||||
`base_url = "${apiUrl}/v1"`,
|
||||
`env_key = "EXO_API_KEY"`,
|
||||
``,
|
||||
`[mcp_servers.filesystem]`,
|
||||
`command = "npx"`,
|
||||
`args = ["-y", "@modelcontextprotocol/server-filesystem", "${codexMcpPath}"]`,
|
||||
].join("\n"),
|
||||
);
|
||||
|
||||
const openClawConfig = $derived(
|
||||
JSON.stringify(
|
||||
{
|
||||
gateway: { mode: "local" },
|
||||
models: {
|
||||
providers: {
|
||||
exo: {
|
||||
baseUrl: `${apiUrl}/v1`,
|
||||
apiKey: "x",
|
||||
api: "openai-completions",
|
||||
models: [
|
||||
{
|
||||
id: openClawModel,
|
||||
name: "exo local",
|
||||
input: (modelCapabilities[openClawModel] || []).includes(
|
||||
"vision",
|
||||
)
|
||||
? ["text", "image"]
|
||||
: ["text"],
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
},
|
||||
agents: {
|
||||
defaults: {
|
||||
model: `exo/${openClawModel}`,
|
||||
},
|
||||
},
|
||||
},
|
||||
null,
|
||||
2,
|
||||
),
|
||||
);
|
||||
|
||||
const ollamaCommand = $derived(
|
||||
`OLLAMA_HOST=${apiUrl}/ollama ollama run ${modelsBySize.length > 0 ? modelsBySize[0] : "your-model-id"}`,
|
||||
);
|
||||
|
||||
const openWebUiCommand = $derived(
|
||||
[
|
||||
`docker run -d -p 3000:8080 \\`,
|
||||
` -e OLLAMA_BASE_URL=${apiUrl.replace("localhost", "host.docker.internal")}/ollama \\`,
|
||||
` -v open-webui:/app/backend/data \\`,
|
||||
` --name open-webui \\`,
|
||||
` ghcr.io/open-webui/open-webui:main`,
|
||||
].join("\n"),
|
||||
);
|
||||
|
||||
const n8nDockerCommand = $derived(
|
||||
[
|
||||
`docker run -d -p 5678:5678 \\`,
|
||||
` -v n8n_data:/home/node/.n8n \\`,
|
||||
` --name n8n \\`,
|
||||
` docker.n8n.io/n8nio/n8n`,
|
||||
].join("\n"),
|
||||
);
|
||||
|
||||
const n8nCredentialSteps = $derived(
|
||||
[
|
||||
`1. Go to Credentials → Add Credential → search "OpenAI API"`,
|
||||
`2. Set API Key to: x`,
|
||||
`3. Set Base URL to: ${apiUrl.replace("127.0.0.1", "host.docker.internal").replace("localhost", "host.docker.internal")}/v1`,
|
||||
`4. Save the credential`,
|
||||
].join("\n"),
|
||||
);
|
||||
|
||||
const n8nWorkflowSteps = $derived(
|
||||
[
|
||||
`1. Create a new workflow → "Start from Scratch"`,
|
||||
`2. Add an "AI Agent" or "Basic LLM Chain" node`,
|
||||
`3. Inside it, add an "OpenAI Chat Model" sub-node`,
|
||||
`4. Select the OpenAI credential you just created`,
|
||||
`5. Set Model to "From list" and pick your model (e.g. ${modelsBySize.length > 0 ? modelsBySize[0] : "your-model-id"})`,
|
||||
`6. Optionally toggle "Use Responses API", add Built-in Tools, or click "Add Option" for sampling settings`,
|
||||
`7. Connect a "Chat Trigger" node for interactive chat`,
|
||||
`8. On the Chat Trigger, enable "Allow File Uploads" for vision`,
|
||||
].join("\n"),
|
||||
);
|
||||
|
||||
const firefoxConfig = $derived(
|
||||
[
|
||||
`1. Open about:config in Firefox`,
|
||||
`2. Set browser.ml.chat.enabled to true`,
|
||||
`3. Set browser.ml.chat.hideLocalhost to false`,
|
||||
`4. Set browser.ml.chat.provider to: ${apiUrl}/`,
|
||||
].join("\n"),
|
||||
);
|
||||
|
||||
const tabs = [
|
||||
"Claude Code",
|
||||
"OpenCode",
|
||||
"Codex",
|
||||
"OpenClaw",
|
||||
"Open WebUI",
|
||||
"n8n",
|
||||
"Firefox",
|
||||
] as const;
|
||||
type Tab = (typeof tabs)[number];
|
||||
const stored = browser ? localStorage.getItem("exo-integrations-tab") : null;
|
||||
let activeTab = $state<Tab>(
|
||||
stored && tabs.includes(stored as Tab) ? (stored as Tab) : "Claude Code",
|
||||
);
|
||||
$effect(() => {
|
||||
if (browser) localStorage.setItem("exo-integrations-tab", activeTab);
|
||||
});
|
||||
|
||||
const selectClass =
|
||||
"bg-black/30 border border-exo-light-gray/20 rounded px-2 py-1.5 text-white font-mono text-xs focus:border-exo-yellow/50 focus:outline-none appearance-none cursor-pointer";
|
||||
|
||||
onMount(async () => {
|
||||
refreshState();
|
||||
try {
|
||||
const resp = await fetch("/v1/models");
|
||||
const data = (await resp.json()) as {
|
||||
data: { id: string; capabilities: string[]; context_length: number }[];
|
||||
};
|
||||
const caps: Record<string, string[]> = {};
|
||||
const ctxs: Record<string, number> = {};
|
||||
for (const model of data.data) {
|
||||
caps[model.id] = model.capabilities || [];
|
||||
if (model.context_length > 0) ctxs[model.id] = model.context_length;
|
||||
}
|
||||
modelCapabilities = caps;
|
||||
modelContextLengths = ctxs;
|
||||
} catch {
|
||||
/* ignore */
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
<div class="min-h-screen bg-exo-dark-gray flex flex-col">
|
||||
<HeaderNav showHome={true} />
|
||||
|
||||
<main
|
||||
class="flex-1 max-w-3xl mx-auto w-full px-4 md:px-6 py-8"
|
||||
in:fade={{ duration: 200 }}
|
||||
>
|
||||
<div class="mb-8">
|
||||
<h1
|
||||
class="text-white text-xl md:text-2xl font-semibold tracking-wide mb-2"
|
||||
>
|
||||
Integrations
|
||||
</h1>
|
||||
<p class="text-exo-light-gray/60 text-sm">
|
||||
Connect external tools to your exo cluster.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<!-- Status -->
|
||||
<div class="mb-8">
|
||||
<span class="text-exo-light-gray/70 text-xs uppercase tracking-wider"
|
||||
>API Endpoint</span
|
||||
>
|
||||
<span class="text-white font-mono text-sm ml-2">{apiUrl}</span>
|
||||
{#if runningModels.length > 0}
|
||||
<div class="text-exo-light-gray/50 text-xs mt-2">
|
||||
Running model{runningModels.length > 1 ? "s" : ""}:
|
||||
<ul class="mt-1 space-y-0.5 list-none">
|
||||
{#each runningModels as model}
|
||||
<li class="text-exo-yellow font-mono">{model}</li>
|
||||
{/each}
|
||||
</ul>
|
||||
</div>
|
||||
{:else}
|
||||
<p class="text-exo-light-gray/40 text-xs mt-2 italic">
|
||||
No models currently running
|
||||
</p>
|
||||
{/if}
|
||||
</div>
|
||||
|
||||
<!-- API Endpoints -->
|
||||
<div class="mb-8">
|
||||
<div
|
||||
class="flex flex-col sm:flex-row gap-3 text-xs font-mono text-exo-light-gray/70"
|
||||
>
|
||||
<div
|
||||
class="flex-1 bg-black/20 border border-exo-light-gray/10 rounded px-3 py-2"
|
||||
>
|
||||
<span class="text-exo-light-gray/40 text-[10px] uppercase block mb-1"
|
||||
>OpenAI-compatible</span
|
||||
>
|
||||
<span class="text-white/80">{apiUrl}/v1</span>
|
||||
</div>
|
||||
<div
|
||||
class="flex-1 bg-black/20 border border-exo-light-gray/10 rounded px-3 py-2"
|
||||
>
|
||||
<span class="text-exo-light-gray/40 text-[10px] uppercase block mb-1"
|
||||
>Claude-compatible</span
|
||||
>
|
||||
<span class="text-white/80">{apiUrl}</span>
|
||||
</div>
|
||||
<div
|
||||
class="flex-1 bg-black/20 border border-exo-light-gray/10 rounded px-3 py-2"
|
||||
>
|
||||
<span class="text-exo-light-gray/40 text-[10px] uppercase block mb-1"
|
||||
>Ollama-compatible</span
|
||||
>
|
||||
<span class="text-white/80">{apiUrl}/ollama</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Tabs -->
|
||||
<div
|
||||
class="flex flex-wrap gap-2 mb-6 border-b border-exo-light-gray/10 pb-3"
|
||||
>
|
||||
{#each tabs as tab}
|
||||
<button
|
||||
onclick={() => (activeTab = tab)}
|
||||
class="px-3 py-1.5 text-xs rounded-md transition-all cursor-pointer
|
||||
{activeTab === tab
|
||||
? 'bg-exo-yellow/15 text-exo-yellow border border-exo-yellow/30'
|
||||
: 'text-exo-light-gray/60 hover:text-white/80 border border-transparent hover:border-exo-light-gray/20'}"
|
||||
>
|
||||
{tab}
|
||||
</button>
|
||||
{/each}
|
||||
</div>
|
||||
|
||||
<!-- Tab Content -->
|
||||
<div class="space-y-4">
|
||||
{#if activeTab === "Claude Code"}
|
||||
{#if runningModels.length > 1}
|
||||
<div class="grid grid-cols-3 gap-3 text-xs">
|
||||
{#each [{ label: "Opus", bind: () => opusModel, set: (v: string) => (opusModel = v) }, { label: "Sonnet", bind: () => sonnetModel, set: (v: string) => (sonnetModel = v) }, { label: "Haiku", bind: () => haikuModel, set: (v: string) => (haikuModel = v) }] as tier}
|
||||
<div>
|
||||
<span
|
||||
class="text-exo-light-gray/50 text-[10px] uppercase tracking-wider block mb-1"
|
||||
>{tier.label}</span
|
||||
>
|
||||
<select
|
||||
value={tier.bind()}
|
||||
onchange={(e) =>
|
||||
tier.set((e.target as HTMLSelectElement).value)}
|
||||
class="w-full {selectClass}"
|
||||
>
|
||||
{#each runningModels as model}
|
||||
<option value={model}>{model.split("/").pop()}</option>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
{/each}
|
||||
</div>
|
||||
{/if}
|
||||
<IntegrationCard
|
||||
title="Shell Command"
|
||||
subtitle="Run in terminal"
|
||||
description="Launch Claude Code with exo as the backend. Paste this into your terminal."
|
||||
config={claudeShellCommand}
|
||||
language="bash"
|
||||
/>
|
||||
<IntegrationCard
|
||||
title="Settings File"
|
||||
subtitle="~/.claude/settings.json"
|
||||
description="Or add this to your Claude Code settings for persistent configuration."
|
||||
config={claudeSettingsJson}
|
||||
/>
|
||||
{:else if activeTab === "OpenCode"}
|
||||
<IntegrationCard
|
||||
title="Config File"
|
||||
subtitle="opencode.json"
|
||||
description="Add this to your project root or ~/.config/opencode/opencode.json for global config. Vision models automatically get image input modality."
|
||||
config={openCodeConfig}
|
||||
/>
|
||||
{:else if activeTab === "Codex"}
|
||||
<div class="flex gap-3 text-xs">
|
||||
{#if runningModels.length > 1}
|
||||
<div>
|
||||
<span
|
||||
class="text-exo-light-gray/50 text-[10px] uppercase tracking-wider block mb-1"
|
||||
>Model</span
|
||||
>
|
||||
<select bind:value={codexModel} class={selectClass}>
|
||||
{#each runningModels as model}
|
||||
<option value={model}>{model.split("/").pop()}</option>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
{/if}
|
||||
<div class="flex-1">
|
||||
<span
|
||||
class="text-exo-light-gray/50 text-[10px] uppercase tracking-wider block mb-1"
|
||||
>MCP Filesystem Path</span
|
||||
>
|
||||
<input
|
||||
type="text"
|
||||
bind:value={codexMcpPath}
|
||||
class="w-full bg-black/30 border border-exo-light-gray/20 rounded px-2 py-1.5 text-white font-mono text-xs focus:border-exo-yellow/50 focus:outline-none"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
<IntegrationCard
|
||||
title="Config File"
|
||||
subtitle="~/.codex/config.toml"
|
||||
description="Add this to your Codex CLI config so the model and provider persist."
|
||||
config={codexConfig}
|
||||
/>
|
||||
<IntegrationCard
|
||||
title="Shell Command"
|
||||
subtitle="Run in terminal"
|
||||
description="Launch Codex with exo as the backend."
|
||||
config={codexShellCommand}
|
||||
language="bash"
|
||||
/>
|
||||
{:else if activeTab === "OpenClaw"}
|
||||
{#if runningModels.length > 1}
|
||||
<div class="text-xs">
|
||||
<span
|
||||
class="text-exo-light-gray/50 text-[10px] uppercase tracking-wider block mb-1"
|
||||
>Model</span
|
||||
>
|
||||
<select bind:value={openClawModel} class={selectClass}>
|
||||
{#each runningModels as model}
|
||||
<option value={model}>{model.split("/").pop()}</option>
|
||||
{/each}
|
||||
</select>
|
||||
</div>
|
||||
{/if}
|
||||
<IntegrationCard
|
||||
title="Config File"
|
||||
subtitle="~/.openclaw/openclaw.json"
|
||||
description="Add this to your OpenClaw config. If you haven't installed OpenClaw yet, run: npm install -g openclaw@latest"
|
||||
config={openClawConfig}
|
||||
/>
|
||||
<IntegrationCard
|
||||
title="Setup Commands"
|
||||
subtitle="Run in terminal"
|
||||
description="After saving the config, run these commands to fix metadata and start the gateway."
|
||||
config={`openclaw doctor --fix${(modelCapabilities[openClawModel] || []).includes("vision") ? `\nopenclaw models set-image exo/${openClawModel}` : ""}\nopenclaw gateway &\nopenclaw dashboard`}
|
||||
language="bash"
|
||||
/>
|
||||
{:else if activeTab === "Open WebUI"}
|
||||
<IntegrationCard
|
||||
title="1. Start Open WebUI"
|
||||
subtitle="Run in terminal"
|
||||
description="Run this to start Open WebUI."
|
||||
config={openWebUiCommand}
|
||||
language="bash"
|
||||
/>
|
||||
<IntegrationCard
|
||||
title="2. Open & Select Model"
|
||||
subtitle="http://localhost:3000"
|
||||
description={`Open http://localhost:3000 in your browser. Select the running model from the dropdown at the top: ${runningModels.length > 0 ? runningModels.join(", ") : "no models running"}`}
|
||||
config={"open http://localhost:3000"}
|
||||
language="bash"
|
||||
/>
|
||||
<IntegrationCard
|
||||
title="Ollama CLI"
|
||||
subtitle="Run in terminal"
|
||||
description="Or use the Ollama CLI directly."
|
||||
config={ollamaCommand}
|
||||
language="bash"
|
||||
/>
|
||||
{:else if activeTab === "n8n"}
|
||||
<IntegrationCard
|
||||
title="1. Start n8n"
|
||||
subtitle="Run in terminal"
|
||||
description="Start n8n with Docker. If you already have n8n running, skip this step."
|
||||
config={n8nDockerCommand}
|
||||
language="bash"
|
||||
/>
|
||||
<IntegrationCard
|
||||
title="2. Open n8n"
|
||||
subtitle="http://localhost:5678"
|
||||
description="Open n8n in your browser. If this is your first time, complete the setup and select 'Start from Scratch' when prompted."
|
||||
config={"open http://localhost:5678"}
|
||||
language="bash"
|
||||
/>
|
||||
<IntegrationCard
|
||||
title="3. Add OpenAI Credential"
|
||||
subtitle="n8n UI → Credentials"
|
||||
description="Create an OpenAI credential pointing at your exo cluster."
|
||||
config={n8nCredentialSteps}
|
||||
/>
|
||||
<IntegrationCard
|
||||
title="4. Build a Workflow"
|
||||
subtitle="n8n UI → Workflows"
|
||||
description="Create a workflow that uses your exo-powered model."
|
||||
config={n8nWorkflowSteps}
|
||||
/>
|
||||
{:else if activeTab === "Firefox"}
|
||||
<IntegrationCard
|
||||
title="Firefox AI Chatbot"
|
||||
subtitle="about:config"
|
||||
description="Use the exo dashboard as Firefox's built-in AI chatbot. Requires Firefox 130+."
|
||||
config={firefoxConfig}
|
||||
/>
|
||||
{/if}
|
||||
</div>
|
||||
</main>
|
||||
</div>
|
||||
Generated
+9
-9
@@ -164,11 +164,11 @@
|
||||
]
|
||||
},
|
||||
"locked": {
|
||||
"lastModified": 1763662255,
|
||||
"narHash": "sha256-4bocaOyLa3AfiS8KrWjZQYu+IAta05u3gYZzZ6zXbT0=",
|
||||
"lastModified": 1773870109,
|
||||
"narHash": "sha256-ZoTdqZP03DcdoyxvpFHCAek4bkPUTUPUF3oCCgc3dP4=",
|
||||
"owner": "pyproject-nix",
|
||||
"repo": "build-system-pkgs",
|
||||
"rev": "042904167604c681a090c07eb6967b4dd4dae88c",
|
||||
"rev": "b6e74f433b02fa4b8a7965ee24680f4867e2926f",
|
||||
"type": "github"
|
||||
},
|
||||
"original": {
|
||||
@@ -184,11 +184,11 @@
|
||||
]
|
||||
},
|
||||
"locked": {
|
||||
"lastModified": 1764134915,
|
||||
"narHash": "sha256-xaKvtPx6YAnA3HQVp5LwyYG1MaN4LLehpQI8xEdBvBY=",
|
||||
"lastModified": 1774498001,
|
||||
"narHash": "sha256-wTfdyzzrmpuqt4TQQNqilF91v0m5Mh1stNy9h7a/WK4=",
|
||||
"owner": "pyproject-nix",
|
||||
"repo": "pyproject.nix",
|
||||
"rev": "2c8df1383b32e5443c921f61224b198a2282a657",
|
||||
"rev": "794afa6eb588b498344f2eaa36ab1ceb7e6b0b09",
|
||||
"type": "github"
|
||||
},
|
||||
"original": {
|
||||
@@ -280,11 +280,11 @@
|
||||
]
|
||||
},
|
||||
"locked": {
|
||||
"lastModified": 1767701098,
|
||||
"narHash": "sha256-CJhKZnWb3gumR9oTRjFvCg/6lYTGbZRU7xtvcyWIRwU=",
|
||||
"lastModified": 1774490495,
|
||||
"narHash": "sha256-a9WmQWj8fF7BctZGCoyzpUjP6GJw8H+lxl+zxpGnETk=",
|
||||
"owner": "pyproject-nix",
|
||||
"repo": "uv2nix",
|
||||
"rev": "9d357f0d2ce6f5f35ec7959d7e704452352eb4da",
|
||||
"rev": "18ae62fc5e389e3069854a7c66455c22e31708fc",
|
||||
"type": "github"
|
||||
},
|
||||
"original": {
|
||||
|
||||
@@ -72,7 +72,7 @@
|
||||
];
|
||||
|
||||
perSystem =
|
||||
{ config, self', inputs', pkgs, lib, system, ... }:
|
||||
{ config, self', pkgs, lib, system, ... }:
|
||||
let
|
||||
# Use pinned nixpkgs for swift-format (swift is broken on x86_64-linux in newer nixpkgs)
|
||||
pkgsSwift = import inputs.nixpkgs-swift { inherit system; };
|
||||
@@ -84,6 +84,17 @@
|
||||
config.allowUnfreePredicate = pkg: (pkg.pname or "") == "metal-toolchain";
|
||||
overlays = [
|
||||
(import ./nix/apple-sdk-overlay.nix)
|
||||
(final: prev: {
|
||||
macmon = prev.macmon.overrideAttrs (_: {
|
||||
version = "git";
|
||||
src = final.fetchFromGitHub {
|
||||
owner = "swiftraccoon";
|
||||
repo = "macmon";
|
||||
rev = "9154d234f763fbeffdcb4135d0bbbaf80609699b";
|
||||
hash = "sha256-CwhilKNbs5XL9/tF5DMwyPBlE/hpmjGNTuxQ36sM50M=";
|
||||
};
|
||||
});
|
||||
})
|
||||
];
|
||||
};
|
||||
treefmt = {
|
||||
|
||||
@@ -1,5 +1,8 @@
|
||||
export NIX_CONFIG := "extra-experimental-features = nix-command flakes"
|
||||
|
||||
default: lint fmt
|
||||
all: lint fmt check
|
||||
|
||||
fmt:
|
||||
treefmt || nix fmt
|
||||
|
||||
@@ -31,6 +34,10 @@ build-dashboard:
|
||||
package:
|
||||
uv run pyinstaller packaging/pyinstaller/exo.spec
|
||||
|
||||
build-app: package
|
||||
xcodebuild build -project app/EXO/EXO.xcodeproj -scheme EXO -configuration Debug -derivedDataPath app/EXO/build
|
||||
@echo "\nBuild complete. Run with:\n open {{justfile_directory()}}/app/EXO/build/Build/Products/Debug/EXO.app"
|
||||
|
||||
clean:
|
||||
rm -rf **/__pycache__
|
||||
rm -rf target/
|
||||
|
||||
@@ -71,7 +71,9 @@ MACMON_PATH = shutil.which("macmon")
|
||||
if MACMON_PATH is None:
|
||||
raise SystemExit(
|
||||
"macmon binary not found in PATH. "
|
||||
"Install it via: brew install macmon"
|
||||
"Install the pinned fork used by exo via: "
|
||||
"cargo install --git https://github.com/swiftraccoon/macmon "
|
||||
"--rev 9154d234f763fbeffdcb4135d0bbbaf80609699b macmon --force"
|
||||
)
|
||||
|
||||
BINARIES: list[tuple[str, str]] = [
|
||||
@@ -120,4 +122,3 @@ coll = COLLECT(
|
||||
upx_exclude=[],
|
||||
name="exo",
|
||||
)
|
||||
|
||||
+7
-4
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "exo"
|
||||
version = "0.3.68"
|
||||
version = "0.3.69"
|
||||
description = "Exo"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.13"
|
||||
@@ -12,7 +12,7 @@ dependencies = [
|
||||
"fastapi>=0.116.1",
|
||||
"filelock>=3.18.0",
|
||||
"rustworkx>=0.17.1",
|
||||
"huggingface-hub>=0.33.4",
|
||||
"huggingface-hub>=1.8.0",
|
||||
"psutil>=7.0.0",
|
||||
"loguru>=0.7.3",
|
||||
"exo_pyo3_bindings", # rust bindings
|
||||
@@ -25,10 +25,12 @@ dependencies = [
|
||||
"openai-harmony>=0.0.8",
|
||||
"httpx>=0.28.1",
|
||||
"tomlkit>=0.14.0",
|
||||
"mflux==0.16.9",
|
||||
"mflux==0.17.2",
|
||||
"python-multipart>=0.0.21",
|
||||
"msgspec>=0.19.0",
|
||||
"zstandard>=0.23.0",
|
||||
"mlx-vlm>=0.3.11",
|
||||
"transformers>=5.0.0,<5.4.0",
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
@@ -61,7 +63,7 @@ members = ["rust/exo_pyo3_bindings", "bench"]
|
||||
[tool.uv.sources]
|
||||
exo_pyo3_bindings = { workspace = true }
|
||||
mlx = { git = "https://github.com/rltakashige/mlx-jaccl-fix-small-recv.git", branch = "address-rdma-gpu-locks", marker = "sys_platform == 'darwin'" }
|
||||
mlx-lm = { git = "https://github.com/rltakashige/mlx-lm", branch = "leo/eval-left-padding-in-batched-rotation" }
|
||||
mlx-lm = { git = "https://github.com/rltakashige/mlx-lm", branch = "leo/fix-arrayscache-leak" }
|
||||
# Uncomment to use local mlx/mlx-lm development versions:
|
||||
# mlx = { path = "/Users/Shared/mlx", editable=true }
|
||||
# mlx-lm = { path = "/Users/Shared/mlx-lm", editable=true }
|
||||
@@ -114,6 +116,7 @@ root = "src"
|
||||
required-version = ">=0.8.6"
|
||||
prerelease = "allow"
|
||||
environments = ["sys_platform == 'darwin'", "sys_platform == 'linux'"]
|
||||
extra-build-dependencies = { "miniaudio" = ["setuptools", "cffi", "pycparser"] }
|
||||
|
||||
###
|
||||
# ruff configuration
|
||||
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "DeepSeek V3.1"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 405874409472
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "DeepSeek V3.1"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 765577920512
|
||||
@@ -0,0 +1,15 @@
|
||||
model_id = "mlx-community/DeepSeek-V3.2-4bit"
|
||||
n_layers = 61
|
||||
hidden_size = 7168
|
||||
num_key_value_heads = 128
|
||||
supports_tensor = true
|
||||
tasks = ["TextGeneration"]
|
||||
family = "deepseek"
|
||||
quantization = "4bit"
|
||||
base_model = "DeepSeek V3.2"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 378086226621
|
||||
@@ -0,0 +1,15 @@
|
||||
model_id = "mlx-community/DeepSeek-V3.2-8bit"
|
||||
n_layers = 61
|
||||
hidden_size = 7168
|
||||
num_key_value_heads = 128
|
||||
supports_tensor = true
|
||||
tasks = ["TextGeneration"]
|
||||
family = "deepseek"
|
||||
quantization = "8bit"
|
||||
base_model = "DeepSeek V3.2"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 755957120916
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "GLM 4.5 Air"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 122406567936
|
||||
@@ -9,5 +9,7 @@ quantization = "bf16"
|
||||
base_model = "GLM 4.5 Air"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 229780750336
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "GLM 4.7"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 198556925568
|
||||
@@ -9,5 +9,7 @@ quantization = "6bit"
|
||||
base_model = "GLM 4.7"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 286737579648
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "GLM 4.7"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 396963397248
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "GLM 4.7 Flash"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 19327352832
|
||||
@@ -9,5 +9,7 @@ quantization = "5bit"
|
||||
base_model = "GLM 4.7 Flash"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 22548578304
|
||||
@@ -9,5 +9,7 @@ quantization = "6bit"
|
||||
base_model = "GLM 4.7 Flash"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 26843545600
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "GLM 4.7 Flash"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 34359738368
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "GLM-5"
|
||||
capabilities = ["text", "thinking"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 790517400864
|
||||
@@ -9,5 +9,7 @@ quantization = "MXFP4-Q8"
|
||||
base_model = "GLM-5"
|
||||
capabilities = ["text", "thinking"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 405478939008
|
||||
@@ -9,5 +9,7 @@ quantization = "bf16"
|
||||
base_model = "GLM-5"
|
||||
capabilities = ["text", "thinking"]
|
||||
|
||||
context_length = 202752
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 1487822475264
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Kimi K2"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 620622774272
|
||||
@@ -9,5 +9,7 @@ quantization = ""
|
||||
base_model = "Kimi K2"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 706522120192
|
||||
@@ -7,7 +7,15 @@ tasks = ["TextGeneration"]
|
||||
family = "kimi"
|
||||
quantization = ""
|
||||
base_model = "Kimi K2.5"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
capabilities = ["text", "thinking", "thinking_toggle", "vision"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 662498705408
|
||||
|
||||
[vision]
|
||||
image_token_id = 163605
|
||||
model_type = "kimi_vl"
|
||||
weights_repo = "davehind/Kimi-K2.5-vision"
|
||||
processor_repo = "moonshotai/Kimi-K2.5"
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "4bit"
|
||||
base_model = "NVIDIA Llama-3.1-Nemotron-70B-Instruct"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 39688355840
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "8bit"
|
||||
base_model = "NVIDIA Llama-3.1-Nemotron-70B-Instruct"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 74964549632
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "bf16"
|
||||
base_model = "NVIDIA Llama-3.1-Nemotron-70B-Instruct"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 141107412992
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "4bit"
|
||||
base_model = "NVIDIA Llama-3.1-Nemotron-Nano-4B-v1.1"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 2538706944
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "8bit"
|
||||
base_model = "NVIDIA Llama-3.1-Nemotron-Nano-4B-v1.1"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 4794980352
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "bf16"
|
||||
base_model = "NVIDIA Llama-3.1-Nemotron-Nano-4B-v1.1"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 9025492992
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Llama 3.2 1B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 729808896
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Llama 3.2 3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 1863319552
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "Llama 3.2 3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 3501195264
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Llama 3.3 70B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 40652242944
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "Llama 3.3 70B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 76799803392
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Llama 3.1 70B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 40652242944
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Llama 3.1 8B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 4637851648
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "Llama 3.1 8B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 8954839040
|
||||
@@ -9,5 +9,7 @@ quantization = "bf16"
|
||||
base_model = "Llama 3.1 8B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 16882073600
|
||||
@@ -9,5 +9,7 @@ quantization = "3bit"
|
||||
base_model = "MiniMax M2.1"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 196608
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 100086644736
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "MiniMax M2.1"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 196608
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 242986745856
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "MiniMax M2.5"
|
||||
capabilities = ["text", "thinking"]
|
||||
|
||||
context_length = 196608
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 128666664960
|
||||
@@ -9,5 +9,7 @@ quantization = "6bit"
|
||||
base_model = "MiniMax M2.5"
|
||||
capabilities = ["text", "thinking"]
|
||||
|
||||
context_length = 196608
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 185826705408
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "MiniMax M2.5"
|
||||
capabilities = ["text", "thinking"]
|
||||
|
||||
context_length = 196608
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 242986745856
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "4bit"
|
||||
base_model = "NVIDIA Nemotron-3-Nano-30B-A3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 17775342336
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "5bit"
|
||||
base_model = "NVIDIA Nemotron-3-Nano-30B-A3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 21721476864
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "6bit"
|
||||
base_model = "NVIDIA Nemotron-3-Nano-30B-A3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 25667611392
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "8bit"
|
||||
base_model = "NVIDIA Nemotron-3-Nano-30B-A3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 33559880448
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "bf16"
|
||||
base_model = "NVIDIA Nemotron-3-Nano-30B-A3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 63155889408
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "4bit"
|
||||
base_model = "NVIDIA Nemotron-3-Nano-30B-A3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 16788808704
|
||||
+2
@@ -8,5 +8,7 @@ quantization = "4bit"
|
||||
base_model = "NVIDIA Nemotron-3-Nano-30B-A3B"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 19323906944
|
||||
@@ -8,5 +8,7 @@ quantization = "4bit"
|
||||
base_model = "NVIDIA Nemotron-Nano-9B-v2"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 5002791936
|
||||
@@ -8,5 +8,7 @@ quantization = "6bit"
|
||||
base_model = "NVIDIA Nemotron-Nano-9B-v2"
|
||||
capabilities = ["text"]
|
||||
|
||||
context_length = 131072
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 7224298496
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Qwen3 0.6B"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 32768
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 342884352
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "Qwen3 0.6B"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 32768
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 698351616
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Qwen3 235B"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 141733920768
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "Qwen3 235B"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 268435456000
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Qwen3 30B"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 32768
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 17612931072
|
||||
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "Qwen3 30B"
|
||||
capabilities = ["text", "thinking", "thinking_toggle"]
|
||||
|
||||
context_length = 32768
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 33279705088
|
||||
+2
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Qwen3 Coder 480B"
|
||||
capabilities = ["text", "code"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 289910292480
|
||||
+2
@@ -9,5 +9,7 @@ quantization = "8bit"
|
||||
base_model = "Qwen3 Coder 480B"
|
||||
capabilities = ["text", "code"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 579820584960
|
||||
@@ -9,5 +9,7 @@ quantization = "4bit"
|
||||
base_model = "Qwen3 Coder Next"
|
||||
capabilities = ["text", "code"]
|
||||
|
||||
context_length = 262144
|
||||
|
||||
[storage_size]
|
||||
in_bytes = 45644286500
|
||||
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