Compare commits

...

69 Commits

Author SHA1 Message Date
Bruce MacDonald
938be81c45 Add TODO 2024-05-10 10:15:22 -07:00
Bruce MacDonald
19ce10e49e add a /tokenize endpoint 2024-05-10 10:13:50 -07:00
Daniel Hiltgen
7e2bceceee Merge pull request #4316 from dhiltgen/more_buffer
Bump VRAM buffer back up
2024-05-10 10:02:34 -07:00
Daniel Hiltgen
30a7d7096c Bump VRAM buffer back up
Under stress scenarios we're seeing OOMs so this should help stabilize
the allocations under heavy concurrency stress.
2024-05-10 09:15:28 -07:00
Michael Yang
200a18820e Merge pull request #4306 from ollama/mxyng/fix-routes 2024-05-10 08:58:16 -07:00
Michael Yang
e03637176d fix(routes): skip bad manifests 2024-05-10 08:46:11 -07:00
Bruce MacDonald
c02db93243 omit empty done reason 2024-05-09 16:45:29 -07:00
Michael Yang
ffa4d5134a Merge pull request #4305 from ollama/mxyng/typo
fix typo
2024-05-09 16:42:09 -07:00
Jeffrey Morgan
302d7fdbf3 prune partial downloads (#4272) 2024-05-09 16:35:20 -07:00
Michael Yang
cf442cd57e fix typo 2024-05-09 16:23:37 -07:00
Michael Yang
0e1ba65855 Merge pull request #4302 from ollama/mxyng/forward-env
only forward some env vars
2024-05-09 16:21:05 -07:00
Michael Yang
6aad333c63 Merge pull request #4298 from ollama/mxyng/log-cleanup
log clean up
2024-05-09 16:20:57 -07:00
Daniel Hiltgen
4fcc84e67a Merge pull request #4304 from dhiltgen/signals
Fix race in shutdown logic
2024-05-09 15:58:44 -07:00
Daniel Hiltgen
3ae2f441e0 Fix race in shutdown logic
Ensure the runners are terminated
2024-05-09 15:54:02 -07:00
Zander Lewis
2abb3f6424 Update README.md (#4300) 2024-05-09 15:30:49 -07:00
Michael Yang
ce3b212d12 only forward some env vars 2024-05-09 15:16:09 -07:00
Daniel Hiltgen
83d6d46e29 Merge pull request #4299 from dhiltgen/handle_vram_reporting_lag
Wait for GPU free memory reporting to converge
2024-05-09 15:08:56 -07:00
Daniel Hiltgen
354ad9254e Wait for GPU free memory reporting to converge
The GPU drivers take a while to update their free memory reporting, so we need
to wait until the values converge with what we're expecting before proceeding
to start another runner in order to get an accurate picture.
2024-05-09 14:56:01 -07:00
Michael Yang
58876091f7 log clean up 2024-05-09 14:55:36 -07:00
Daniel Hiltgen
dc18eee39d Merge pull request #4238 from dhiltgen/gpu_info
Record more GPU information
2024-05-09 14:26:58 -07:00
Daniel Hiltgen
8727a9c140 Record more GPU information
This cleans up the logging for GPU discovery a bit, and can
serve as a foundation to report GPU information in a future UX.
2024-05-09 14:18:14 -07:00
Daniel Hiltgen
d0425f26cf Merge pull request #4294 from dhiltgen/harden_subprocess_reaping
Harden subprocess reaping
2024-05-09 14:02:16 -07:00
Bruce MacDonald
cfa84b8470 add done_reason to the api (#4235) 2024-05-09 13:30:14 -07:00
Michael Yang
1580ed4c06 Merge pull request #4295 from ollama/mxyng/fix-list
routes: skip invalid filepaths
2024-05-09 11:37:34 -07:00
Michael Yang
a7ee84fc31 routes: skip invalid filepaths 2024-05-09 11:23:22 -07:00
Daniel Hiltgen
84ac7ce139 Refine subprocess reaping 2024-05-09 11:21:31 -07:00
tusharhero
788b092c49 docs: add Guix package manager in README. (#4040) 2024-05-09 11:10:24 -07:00
J S
5cde17a096 Add PromptingTools.jl (#2192) 2024-05-09 09:39:05 -07:00
Daniel Hiltgen
c3837eb08c Merge pull request #4289 from dhiltgen/doc_container_workarounds
Doc container usage and workaround for nvidia errors
2024-05-09 09:27:29 -07:00
Daniel Hiltgen
8cc0ee2efe Doc container usage and workaround for nvidia errors 2024-05-09 09:26:45 -07:00
Jeffrey Morgan
d5eec16d23 use model defaults for num_gqa, rope_frequency_base and rope_frequency_scale (#1983) 2024-05-09 09:06:13 -07:00
Carlos Gamez
daa1a032f7 Update langchainjs.md (#2027)
Updated sample code as per warning notification from the package maintainers
2024-05-08 20:21:03 -07:00
jmorganca
6042e8bc57 remove bash-comparemodels example 2024-05-08 19:49:45 -07:00
Daniel Hiltgen
920a4b0794 Merge remote-tracking branch 'upstream/main' into pr3702 2024-05-08 16:44:35 -07:00
Daniel Hiltgen
ee49844d09 Merge pull request #4153 from dhiltgen/gpu_verbose_response
Add GPU usage
2024-05-08 16:39:11 -07:00
Daniel Hiltgen
8a516ac862 Merge pull request #4241 from dhiltgen/fix_tmp_override
Detect noexec and report a better error
2024-05-08 15:34:22 -07:00
Daniel Hiltgen
bee2f4a3b0 Record GPU usage information
This records more GPU usage information for eventual UX inclusion.
2024-05-08 14:45:39 -07:00
Bruce MacDonald
cef45feaa4 Add preflight OPTIONS handling and update CORS config (#4086)
* Add preflight OPTIONS handling and update CORS config

- Implement early return with HTTP 204 (No Content) for OPTIONS requests in allowedHostsMiddleware to optimize preflight handling.

- Extend CORS configuration to explicitly allow 'Authorization' headers and 'OPTIONS' method when OLLAMA_ORIGINS environment variable is set.

* allow auth, content-type, and user-agent headers

* Update routes.go
2024-05-08 13:14:00 -07:00
Michael Yang
2687f02c96 Merge pull request #4265 from ollama/mxyng/fix-show-llava
routes: fix show llava models
2024-05-08 12:51:21 -07:00
Michael Yang
b25976aeb8 routes: fix show llava models 2024-05-08 12:43:36 -07:00
Michael Yang
001f167aad Merge pull request #4261 from ollama/mxyng/fix-tag-case
types/model: fix tag case
2024-05-08 11:09:47 -07:00
Michael Yang
486a2c1d94 types/model: fix tag case 2024-05-08 08:47:16 -07:00
Michael Yang
88cf154483 Merge pull request #4244 from ollama/mxyng/skip-if-same
skip if same quantization
2024-05-07 19:03:37 -07:00
Bruce MacDonald
8cbd3e7510 skip hidden files in list models handler (#4247) 2024-05-07 19:01:45 -07:00
Michael Yang
eeb695261f skip if same quantization 2024-05-07 17:44:19 -07:00
Bruce MacDonald
dc9b1111e0 fix invalid destination error message 2024-05-07 17:35:52 -07:00
Tobias Gårdhus
06ac829e70 Fix help string for stop parameter (#2307) 2024-05-07 16:48:35 -07:00
Daniel Hiltgen
72700279e2 Detect noexec and report a better error
This will bubble up a much more informative error message if noexec
is preventing us from running the subprocess
2024-05-07 16:46:15 -07:00
boessu
5d3f7fff26 Update langchainpy.md (#4236)
fixing pip code.
2024-05-07 16:36:34 -07:00
Eli Bendersky
d77c1c5f9d api: fill up API documentation (#3596)
* api: fill up API documentation

Followup for #2878

Now that the documentation is more complete, mention it in the README.

Updates #2840

* fix typo/lint

* Update README.md

Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>

---------

Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
2024-05-07 16:27:46 -07:00
Giuseppe Lumia
2a5302a1cf Fix paste of text with line feed characters (#3043)
Some terminals may send line feed characters when pasting text with
newlines.
2024-05-07 15:26:07 -07:00
Michael Yang
ffbd3d173f Merge pull request #3715 from ollama/mxyng/modelname-2
update list handler to use model.Name
2024-05-07 15:21:39 -07:00
Michael Yang
1e0a669f75 Merge pull request #3682 from ollama/mxyng/quantize-all-the-things
quantize any fp16/fp32 model
2024-05-07 15:20:49 -07:00
Bruce MacDonald
527e9be058 fix: store accurate model parameter size (#4058)
- add test for number formatting
- fix bug where 1B and 1M were not stored correctly
- display 2 decimal points for million param sizes
- display 1 decimal point for billion param sizes
2024-05-07 14:41:53 -07:00
Renat
34bea2e272 Add macai to list of Web & Desktop integrations (#3881) 2024-05-07 13:31:34 -07:00
Fernando Maclen
fe44ae3371 Update README.md (#3884) 2024-05-07 13:17:35 -07:00
Michael Yang
548a7df014 update list handler to use model.Name 2024-05-07 09:38:45 -07:00
Michael Yang
b2f00aa977 close zip files 2024-05-06 15:27:19 -07:00
Michael Yang
6694be5e50 convert/llama: use WriteSeeker 2024-05-06 15:24:01 -07:00
Michael Yang
f5e8b207fb s/DisplayLongest/String/ 2024-05-06 15:24:01 -07:00
Michael Yang
d245460362 only quantize language models 2024-05-06 15:24:01 -07:00
Michael Yang
4d0d0fa383 no iterator 2024-05-06 15:24:01 -07:00
Michael Yang
7ffe45734d rebase 2024-05-06 15:24:01 -07:00
Michael Yang
01811c176a comments 2024-05-06 15:24:01 -07:00
Michael Yang
a7248f6ea8 update tests 2024-05-06 15:24:01 -07:00
Michael Yang
9685c34509 quantize any fp16/fp32 model
- FROM /path/to/{safetensors,pytorch}
- FROM /path/to/fp{16,32}.bin
- FROM model:fp{16,32}
2024-05-06 15:24:01 -07:00
ManniX-ITA
c496967e56 Merge branch 'ollama:main' into mannix-server 2024-04-18 18:45:15 +02:00
ManniX-ITA
c942e4a07b Fixed startup sequence to report model loading 2024-04-17 17:40:32 +02:00
ManniX-ITA
bd54b08261 Streamlined WaitUntilRunning 2024-04-17 17:39:52 +02:00
53 changed files with 1759 additions and 1203 deletions

View File

@@ -258,6 +258,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Open WebUI](https://github.com/open-webui/open-webui)
- [Enchanted (macOS native)](https://github.com/AugustDev/enchanted)
- [Hollama](https://github.com/fmaclen/hollama)
- [Lollms-Webui](https://github.com/ParisNeo/lollms-webui)
- [LibreChat](https://github.com/danny-avila/LibreChat)
- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt)
@@ -297,6 +298,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Lobe Chat](https://github.com/lobehub/lobe-chat) with [Integrating Doc](https://lobehub.com/docs/self-hosting/examples/ollama)
- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) (Local Chat with multiple PDFs using Ollama and RAG)
- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) (Flexible native client with RAG & multi-agent automation)
- [macai](https://github.com/Renset/macai) (macOS client for Ollama, ChatGPT, and other compatible API back-ends)
### Terminal
@@ -329,6 +331,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Pacman](https://archlinux.org/packages/extra/x86_64/ollama/)
- [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama)
- [Guix channel](https://codeberg.org/tusharhero/ollama-guix)
### Libraries
@@ -355,7 +358,8 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Ollama Connector for SAP ABAP](https://github.com/b-tocs/abap_btocs_ollama)
- [Testcontainers](https://testcontainers.com/modules/ollama/)
- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama)
- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) with an [example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama)
- [LlamaScript](https://github.com/WolfTheDeveloper/llamascript)
### Mobile
- [Enchanted](https://github.com/AugustDev/enchanted)

View File

@@ -1,9 +1,16 @@
// Package api implements the client-side API for code wishing to interact
// with the ollama service. The methods of the [Client] type correspond to
// the ollama REST API as described in https://github.com/ollama/ollama/blob/main/docs/api.md
//
// the ollama REST API as described in [the API documentation].
// The ollama command-line client itself uses this package to interact with
// the backend service.
//
// # Examples
//
// Several examples of using this package are available [in the GitHub
// repository].
//
// [the API documentation]: https://github.com/ollama/ollama/blob/main/docs/api.md
// [in the GitHub repository]: https://github.com/ollama/ollama/tree/main/examples
package api
import (
@@ -299,8 +306,14 @@ func (c *Client) Pull(ctx context.Context, req *PullRequest, fn PullProgressFunc
})
}
// PushProgressFunc is a function that [Client.Push] invokes when progress is
// made.
// It's similar to other progress function types like [PullProgressFunc].
type PushProgressFunc func(ProgressResponse) error
// Push uploads a model to the model library; requires registering for ollama.ai
// and adding a public key first. fn is called each time progress is made on
// the request and can be used to display a progress bar, etc.
func (c *Client) Push(ctx context.Context, req *PushRequest, fn PushProgressFunc) error {
return c.stream(ctx, http.MethodPost, "/api/push", req, func(bts []byte) error {
var resp ProgressResponse
@@ -312,8 +325,15 @@ func (c *Client) Push(ctx context.Context, req *PushRequest, fn PushProgressFunc
})
}
// CreateProgressFunc is a function that [Client.Create] invokes when progress
// is made.
// It's similar to other progress function types like [PullProgressFunc].
type CreateProgressFunc func(ProgressResponse) error
// Create creates a model from a [Modelfile]. fn is a progress function that
// behaves similarly to other methods (see [Client.Pull]).
//
// [Modelfile]: https://github.com/ollama/ollama/blob/main/docs/modelfile.md
func (c *Client) Create(ctx context.Context, req *CreateRequest, fn CreateProgressFunc) error {
return c.stream(ctx, http.MethodPost, "/api/create", req, func(bts []byte) error {
var resp ProgressResponse
@@ -325,6 +345,7 @@ func (c *Client) Create(ctx context.Context, req *CreateRequest, fn CreateProgre
})
}
// List lists models that are available locally.
func (c *Client) List(ctx context.Context) (*ListResponse, error) {
var lr ListResponse
if err := c.do(ctx, http.MethodGet, "/api/tags", nil, &lr); err != nil {
@@ -333,6 +354,8 @@ func (c *Client) List(ctx context.Context) (*ListResponse, error) {
return &lr, nil
}
// Copy copies a model - creating a model with another name from an existing
// model.
func (c *Client) Copy(ctx context.Context, req *CopyRequest) error {
if err := c.do(ctx, http.MethodPost, "/api/copy", req, nil); err != nil {
return err
@@ -340,6 +363,7 @@ func (c *Client) Copy(ctx context.Context, req *CopyRequest) error {
return nil
}
// Delete deletes a model and its data.
func (c *Client) Delete(ctx context.Context, req *DeleteRequest) error {
if err := c.do(ctx, http.MethodDelete, "/api/delete", req, nil); err != nil {
return err
@@ -347,6 +371,7 @@ func (c *Client) Delete(ctx context.Context, req *DeleteRequest) error {
return nil
}
// Show obtains model information, including details, modelfile, license etc.
func (c *Client) Show(ctx context.Context, req *ShowRequest) (*ShowResponse, error) {
var resp ShowResponse
if err := c.do(ctx, http.MethodPost, "/api/show", req, &resp); err != nil {
@@ -355,12 +380,16 @@ func (c *Client) Show(ctx context.Context, req *ShowRequest) (*ShowResponse, err
return &resp, nil
}
// Hearbeat checks if the server has started and is responsive; if yes, it
// returns nil, otherwise an error.
func (c *Client) Heartbeat(ctx context.Context) error {
if err := c.do(ctx, http.MethodHead, "/", nil, nil); err != nil {
return err
}
return nil
}
// Embeddings generates embeddings from a model.
func (c *Client) Embeddings(ctx context.Context, req *EmbeddingRequest) (*EmbeddingResponse, error) {
var resp EmbeddingResponse
if err := c.do(ctx, http.MethodPost, "/api/embeddings", req, &resp); err != nil {
@@ -369,10 +398,13 @@ func (c *Client) Embeddings(ctx context.Context, req *EmbeddingRequest) (*Embedd
return &resp, nil
}
// CreateBlob creates a blob from a file on the server. digest is the
// expected SHA256 digest of the file, and r represents the file.
func (c *Client) CreateBlob(ctx context.Context, digest string, r io.Reader) error {
return c.do(ctx, http.MethodPost, fmt.Sprintf("/api/blobs/%s", digest), r, nil)
}
// Version returns the Ollama server version as a string.
func (c *Client) Version(ctx context.Context) (string, error) {
var version struct {
Version string `json:"version"`

View File

@@ -4,6 +4,7 @@ import (
"encoding/json"
"errors"
"fmt"
"log/slog"
"math"
"os"
"reflect"
@@ -12,6 +13,7 @@ import (
"time"
)
// StatusError is an error with and HTTP status code.
type StatusError struct {
StatusCode int
Status string
@@ -32,6 +34,7 @@ func (e StatusError) Error() string {
}
}
// ImageData represents the raw binary data of an image file.
type ImageData []byte
// GenerateRequest describes a request sent by [Client.Generate]. While you
@@ -77,26 +80,44 @@ type GenerateRequest struct {
Options map[string]interface{} `json:"options"`
}
// ChatRequest describes a request sent by [Client.Chat].
type ChatRequest struct {
Model string `json:"model"`
Messages []Message `json:"messages"`
Stream *bool `json:"stream,omitempty"`
Format string `json:"format"`
// Model is the model name, as in [GenerateRequest].
Model string `json:"model"`
// Messages is the messages of the chat - can be used to keep a chat memory.
Messages []Message `json:"messages"`
// Stream enable streaming of returned response; true by default.
Stream *bool `json:"stream,omitempty"`
// Format is the format to return the response in (e.g. "json").
Format string `json:"format"`
// KeepAlive controls how long the model will stay loaded into memory
// followin the request.
KeepAlive *Duration `json:"keep_alive,omitempty"`
// Options lists model-specific options.
Options map[string]interface{} `json:"options"`
}
// Message is a single message in a chat sequence. The message contains the
// role ("system", "user", or "assistant"), the content and an optional list
// of images.
type Message struct {
Role string `json:"role"` // one of ["system", "user", "assistant"]
Role string `json:"role"`
Content string `json:"content"`
Images []ImageData `json:"images,omitempty"`
}
// ChatResponse is the response returned by [Client.Chat]. Its fields are
// similar to [GenerateResponse].
type ChatResponse struct {
Model string `json:"model"`
CreatedAt time.Time `json:"created_at"`
Message Message `json:"message"`
Model string `json:"model"`
CreatedAt time.Time `json:"created_at"`
Message Message `json:"message"`
DoneReason string `json:"done_reason,omitempty"`
Done bool `json:"done"`
@@ -112,7 +133,8 @@ type Metrics struct {
EvalDuration time.Duration `json:"eval_duration,omitempty"`
}
// Options specified in GenerateRequest, if you add a new option here add it to the API docs also
// Options specified in [GenerateRequest], if you add a new option here add it
// to the API docs also.
type Options struct {
Runner
@@ -141,7 +163,6 @@ type Runner struct {
UseNUMA bool `json:"numa,omitempty"`
NumCtx int `json:"num_ctx,omitempty"`
NumBatch int `json:"num_batch,omitempty"`
NumGQA int `json:"num_gqa,omitempty"`
NumGPU int `json:"num_gpu,omitempty"`
MainGPU int `json:"main_gpu,omitempty"`
LowVRAM bool `json:"low_vram,omitempty"`
@@ -151,14 +172,30 @@ type Runner struct {
UseMMap bool `json:"use_mmap,omitempty"`
UseMLock bool `json:"use_mlock,omitempty"`
NumThread int `json:"num_thread,omitempty"`
// Unused: RopeFrequencyBase is ignored. Instead the value in the model will be used
RopeFrequencyBase float32 `json:"rope_frequency_base,omitempty"`
// Unused: RopeFrequencyScale is ignored. Instead the value in the model will be used
RopeFrequencyScale float32 `json:"rope_frequency_scale,omitempty"`
}
// EmbeddingRequest is the request passed to [Client.Embeddings].
type EmbeddingRequest struct {
// Model is the model name.
Model string `json:"model"`
// Prompt is the textual prompt to embed.
Prompt string `json:"prompt"`
// KeepAlive controls how long the model will stay loaded in memory following
// this request.
KeepAlive *Duration `json:"keep_alive,omitempty"`
// Options lists model-specific options.
Options map[string]interface{} `json:"options"`
}
// EmbeddingResponse is the response from [Client.Embeddings].
type EmbeddingResponse struct {
Embedding []float64 `json:"embedding"`
}
type TokenizeRequest struct {
Model string `json:"model"`
Prompt string `json:"prompt"`
KeepAlive *Duration `json:"keep_alive,omitempty"`
@@ -166,10 +203,11 @@ type EmbeddingRequest struct {
Options map[string]interface{} `json:"options"`
}
type EmbeddingResponse struct {
Embedding []float64 `json:"embedding"`
type TokenizeResponse struct {
Tokens []int `json:"tokens"`
}
// CreateRequest is the request passed to [Client.Create].
type CreateRequest struct {
Model string `json:"model"`
Path string `json:"path"`
@@ -181,6 +219,7 @@ type CreateRequest struct {
Name string `json:"name"`
}
// DeleteRequest is the request passed to [Client.Delete].
type DeleteRequest struct {
Model string `json:"model"`
@@ -188,6 +227,7 @@ type DeleteRequest struct {
Name string `json:"name"`
}
// ShowRequest is the request passed to [Client.Show].
type ShowRequest struct {
Model string `json:"model"`
System string `json:"system"`
@@ -199,6 +239,7 @@ type ShowRequest struct {
Name string `json:"name"`
}
// ShowResponse is the response returned from [Client.Show].
type ShowResponse struct {
License string `json:"license,omitempty"`
Modelfile string `json:"modelfile,omitempty"`
@@ -209,11 +250,13 @@ type ShowResponse struct {
Messages []Message `json:"messages,omitempty"`
}
// CopyRequest is the request passed to [Client.Copy].
type CopyRequest struct {
Source string `json:"source"`
Destination string `json:"destination"`
}
// PullRequest is the request passed to [Client.Pull].
type PullRequest struct {
Model string `json:"model"`
Insecure bool `json:"insecure,omitempty"`
@@ -225,6 +268,8 @@ type PullRequest struct {
Name string `json:"name"`
}
// ProgressResponse is the response passed to progress functions like
// [PullProgressFunc] and [PushProgressFunc].
type ProgressResponse struct {
Status string `json:"status"`
Digest string `json:"digest,omitempty"`
@@ -232,6 +277,7 @@ type ProgressResponse struct {
Completed int64 `json:"completed,omitempty"`
}
// PushRequest is the request passed to [Client.Push].
type PushRequest struct {
Model string `json:"model"`
Insecure bool `json:"insecure,omitempty"`
@@ -243,10 +289,12 @@ type PushRequest struct {
Name string `json:"name"`
}
// ListResponse is the response from [Client.List].
type ListResponse struct {
Models []ModelResponse `json:"models"`
}
// ModelResponse is a single model description in [ListResponse].
type ModelResponse struct {
Name string `json:"name"`
Model string `json:"model"`
@@ -260,17 +308,31 @@ type TokenResponse struct {
Token string `json:"token"`
}
// GenerateResponse is the response passed into [GenerateResponseFunc].
type GenerateResponse struct {
Model string `json:"model"`
CreatedAt time.Time `json:"created_at"`
Response string `json:"response"`
// Model is the model name that generated the response.
Model string `json:"model"`
Done bool `json:"done"`
//CreatedAt is the timestamp of the response.
CreatedAt time.Time `json:"created_at"`
// Response is the textual response itself.
Response string `json:"response"`
// Done specifies if the response is complete.
Done bool `json:"done"`
// DoneReason is the reason the model stopped generating text.
DoneReason string `json:"done_reason,omitempty"`
// Context is an encoding of the conversation used in this response; this
// can be sent in the next request to keep a conversational memory.
Context []int `json:"context,omitempty"`
Metrics
}
// ModelDetails provides details about a model.
type ModelDetails struct {
ParentModel string `json:"parent_model"`
Format string `json:"format"`
@@ -308,7 +370,6 @@ func (m *Metrics) Summary() {
}
}
var ErrInvalidOpts = errors.New("invalid options")
var ErrInvalidHostPort = errors.New("invalid port specified in OLLAMA_HOST")
func (opts *Options) FromMap(m map[string]interface{}) error {
@@ -324,76 +385,76 @@ func (opts *Options) FromMap(m map[string]interface{}) error {
}
}
invalidOpts := []string{}
for key, val := range m {
if opt, ok := jsonOpts[key]; ok {
field := valueOpts.FieldByName(opt.Name)
if field.IsValid() && field.CanSet() {
if val == nil {
continue
}
opt, ok := jsonOpts[key]
if !ok {
slog.Warn("invalid option provided", "option", opt.Name)
continue
}
switch field.Kind() {
case reflect.Int:
switch t := val.(type) {
case int64:
field.SetInt(t)
case float64:
// when JSON unmarshals numbers, it uses float64, not int
field.SetInt(int64(t))
default:
return fmt.Errorf("option %q must be of type integer", key)
}
case reflect.Bool:
val, ok := val.(bool)
if !ok {
return fmt.Errorf("option %q must be of type boolean", key)
}
field.SetBool(val)
case reflect.Float32:
// JSON unmarshals to float64
val, ok := val.(float64)
if !ok {
return fmt.Errorf("option %q must be of type float32", key)
}
field.SetFloat(val)
case reflect.String:
val, ok := val.(string)
if !ok {
return fmt.Errorf("option %q must be of type string", key)
}
field.SetString(val)
case reflect.Slice:
// JSON unmarshals to []interface{}, not []string
val, ok := val.([]interface{})
if !ok {
return fmt.Errorf("option %q must be of type array", key)
}
// convert []interface{} to []string
slice := make([]string, len(val))
for i, item := range val {
str, ok := item.(string)
if !ok {
return fmt.Errorf("option %q must be of an array of strings", key)
}
slice[i] = str
}
field.Set(reflect.ValueOf(slice))
default:
return fmt.Errorf("unknown type loading config params: %v", field.Kind())
}
field := valueOpts.FieldByName(opt.Name)
if field.IsValid() && field.CanSet() {
if val == nil {
continue
}
switch field.Kind() {
case reflect.Int:
switch t := val.(type) {
case int64:
field.SetInt(t)
case float64:
// when JSON unmarshals numbers, it uses float64, not int
field.SetInt(int64(t))
default:
return fmt.Errorf("option %q must be of type integer", key)
}
case reflect.Bool:
val, ok := val.(bool)
if !ok {
return fmt.Errorf("option %q must be of type boolean", key)
}
field.SetBool(val)
case reflect.Float32:
// JSON unmarshals to float64
val, ok := val.(float64)
if !ok {
return fmt.Errorf("option %q must be of type float32", key)
}
field.SetFloat(val)
case reflect.String:
val, ok := val.(string)
if !ok {
return fmt.Errorf("option %q must be of type string", key)
}
field.SetString(val)
case reflect.Slice:
// JSON unmarshals to []interface{}, not []string
val, ok := val.([]interface{})
if !ok {
return fmt.Errorf("option %q must be of type array", key)
}
// convert []interface{} to []string
slice := make([]string, len(val))
for i, item := range val {
str, ok := item.(string)
if !ok {
return fmt.Errorf("option %q must be of an array of strings", key)
}
slice[i] = str
}
field.Set(reflect.ValueOf(slice))
default:
return fmt.Errorf("unknown type loading config params: %v", field.Kind())
}
} else {
invalidOpts = append(invalidOpts, key)
}
}
if len(invalidOpts) > 0 {
return fmt.Errorf("%w: %v", ErrInvalidOpts, strings.Join(invalidOpts, ", "))
}
return nil
}
// DefaultOptions is the default set of options for [GenerateRequest]; these
// values are used unless the user specifies other values explicitly.
func DefaultOptions() Options {
return Options{
// options set on request to runner
@@ -421,8 +482,7 @@ func DefaultOptions() Options {
NumCtx: 2048,
NumBatch: 512,
NumGPU: -1, // -1 here indicates that NumGPU should be set dynamically
NumGQA: 1,
NumThread: 0, // let the runtime decide
NumThread: 0, // let the runtime decide
LowVRAM: false,
F16KV: true,
UseMLock: false,

View File

@@ -162,7 +162,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
fmt.Fprintln(os.Stderr, " /set parameter repeat_penalty <float> How strongly to penalize repetitions")
fmt.Fprintln(os.Stderr, " /set parameter repeat_last_n <int> Set how far back to look for repetitions")
fmt.Fprintln(os.Stderr, " /set parameter num_gpu <int> The number of layers to send to the GPU")
fmt.Fprintln(os.Stderr, " /set parameter stop \"<string>\", ... Set the stop parameters")
fmt.Fprintln(os.Stderr, " /set parameter stop <string> <string> ... Set the stop parameters")
fmt.Fprintln(os.Stderr, "")
}

View File

@@ -5,6 +5,7 @@ import (
"encoding/binary"
"encoding/json"
"fmt"
"io"
"log/slog"
"os"
"path/filepath"
@@ -47,7 +48,7 @@ type ByteOrder interface {
type ModelArch interface {
GetTensors() error
LoadVocab() error
WriteGGUF() (string, error)
WriteGGUF(io.WriteSeeker) error
}
type ModelFormat interface {

View File

@@ -94,7 +94,7 @@ func (m *GemmaModel) LoadVocab() error {
return nil
}
func (m *GemmaModel) WriteGGUF() (string, error) {
func (m *GemmaModel) WriteGGUF(ws io.WriteSeeker) error {
kv := llm.KV{
"general.architecture": "gemma",
"general.name": m.Name,
@@ -122,16 +122,5 @@ func (m *GemmaModel) WriteGGUF() (string, error) {
"tokenizer.ggml.add_eos_token": false,
}
f, err := os.CreateTemp("", "ollama-gguf")
if err != nil {
return "", err
}
defer f.Close()
mod := llm.NewGGUFV3(m.Params.ByteOrder)
if err := mod.Encode(f, kv, m.Tensors); err != nil {
return "", err
}
return f.Name(), nil
return llm.NewGGUFV3(m.Params.ByteOrder).Encode(ws, kv, m.Tensors)
}

View File

@@ -5,7 +5,6 @@ import (
"fmt"
"io"
"log/slog"
"os"
"regexp"
"strings"
@@ -132,7 +131,7 @@ func (m *LlamaModel) LoadVocab() error {
return nil
}
func (m *LlamaModel) WriteGGUF() (string, error) {
func (m *LlamaModel) WriteGGUF(ws io.WriteSeeker) error {
kv := llm.KV{
"general.architecture": "llama",
"general.name": m.Name,
@@ -159,18 +158,5 @@ func (m *LlamaModel) WriteGGUF() (string, error) {
"tokenizer.ggml.add_eos_token": false,
}
f, err := os.CreateTemp("", "ollama-gguf")
if err != nil {
return "", err
}
defer f.Close()
mod := llm.NewGGUFV3(m.Params.ByteOrder)
if err := mod.Encode(f, kv, m.Tensors); err != nil {
return "", err
}
slog.Debug(fmt.Sprintf("gguf file = %s", f.Name()))
return f.Name(), nil
return llm.NewGGUFV3(m.Params.ByteOrder).Encode(ws, kv, m.Tensors)
}

View File

@@ -132,7 +132,7 @@ func (m *MistralModel) LoadVocab() error {
return nil
}
func (m *MistralModel) WriteGGUF() (string, error) {
func (m *MistralModel) WriteGGUF(ws io.WriteSeeker) error {
kv := llm.KV{
"general.architecture": "llama",
"general.name": m.Name,
@@ -158,16 +158,5 @@ func (m *MistralModel) WriteGGUF() (string, error) {
"tokenizer.ggml.unknown_token_id": uint32(0),
}
f, err := os.CreateTemp("", "ollama-gguf")
if err != nil {
return "", err
}
defer f.Close()
mod := llm.NewGGUFV3(m.Params.ByteOrder)
if err := mod.Encode(f, kv, m.Tensors); err != nil {
return "", err
}
return f.Name(), nil
return llm.NewGGUFV3(m.Params.ByteOrder).Encode(ws, kv, m.Tensors)
}

View File

@@ -1,7 +1,7 @@
package convert
import (
"os"
"io"
"regexp"
"github.com/ollama/ollama/llm"
@@ -47,7 +47,7 @@ func (m *MixtralModel) LoadVocab() error {
return nil
}
func (m *MixtralModel) WriteGGUF() (string, error) {
func (m *MixtralModel) WriteGGUF(ws io.WriteSeeker) error {
kv := llm.KV{
"general.architecture": "llama",
"general.name": m.Name,
@@ -81,16 +81,5 @@ func (m *MixtralModel) WriteGGUF() (string, error) {
"tokenizer.ggml.add_eos_token": false,
}
f, err := os.CreateTemp("", "ollama-gguf")
if err != nil {
return "", err
}
defer f.Close()
mod := llm.NewGGUFV3(m.Params.ByteOrder)
if err := mod.Encode(f, kv, m.Tensors); err != nil {
return "", err
}
return f.Name(), nil
return llm.NewGGUFV3(m.Params.ByteOrder).Encode(ws, kv, m.Tensors)
}

View File

@@ -6,7 +6,7 @@
* [Importing models](./import.md)
* [Linux Documentation](./linux.md)
* [Windows Documentation](./windows.md)
* [Docker Documentation](https://hub.docker.com/r/ollama/ollama)
* [Docker Documentation](./docker.md)
### Reference

View File

@@ -313,7 +313,6 @@ curl http://localhost:11434/api/generate -d '{
"numa": false,
"num_ctx": 1024,
"num_batch": 2,
"num_gqa": 1,
"num_gpu": 1,
"main_gpu": 0,
"low_vram": false,
@@ -321,8 +320,6 @@ curl http://localhost:11434/api/generate -d '{
"vocab_only": false,
"use_mmap": true,
"use_mlock": false,
"rope_frequency_base": 1.1,
"rope_frequency_scale": 0.8,
"num_thread": 8
}
}'

71
docs/docker.md Normal file
View File

@@ -0,0 +1,71 @@
# Ollama Docker image
### CPU only
```bash
docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
```
### Nvidia GPU
Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation).
#### Install with Apt
1. Configure the repository
```bash
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey \
| sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
| sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
| sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update
```
2. Install the NVIDIA Container Toolkit packages
```bash
sudo apt-get install -y nvidia-container-toolkit
```
#### Install with Yum or Dnf
1. Configure the repository
```bash
curl -s -L https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo \
| sudo tee /etc/yum.repos.d/nvidia-container-toolkit.repo
```
2. Install the NVIDIA Container Toolkit packages
```bash
sudo yum install -y nvidia-container-toolkit
```
#### Configure Docker to use Nvidia driver
```
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
```
#### Start the container
```bash
docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
```
### AMD GPU
To run Ollama using Docker with AMD GPUs, use the `rocm` tag and the following command:
```
docker run -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama:rocm
```
### Run model locally
Now you can run a model:
```
docker exec -it ollama ollama run llama3
```
### Try different models
More models can be found on the [Ollama library](https://ollama.com/library).

View File

@@ -82,4 +82,23 @@ curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION="0.1.29" sh
If your system is configured with the "noexec" flag where Ollama stores its
temporary executable files, you can specify an alternate location by setting
OLLAMA_TMPDIR to a location writable by the user ollama runs as. For example
OLLAMA_TMPDIR=/usr/share/ollama/
OLLAMA_TMPDIR=/usr/share/ollama/
## Container fails to run on NVIDIA GPU
Make sure you've set up the conatiner runtime first as described in [docker.md](./docker.md)
Sometimes the container runtime can have difficulties initializing the GPU.
When you check the server logs, this can show up as various error codes, such
as "3" (not initialized), "46" (device unavailable), "100" (no device), "999"
(unknown), or others. The following troubleshooting techniques may help resolve
the problem
- Is the uvm driver not loaded? `sudo nvidia-modprobe -u`
- Try reloading the nvidia_uvm driver - `sudo rmmod nvidia_uvm` then `sudo modprobe nvidia_uvm`
- Try rebooting
- Make sure you're running the latest nvidia drivers
If none of those resolve the problem, gather additional information and file an issue:
- Set `CUDA_ERROR_LEVEL=50` and try again to get more diagnostic logs
- Check dmesg for any errors `sudo dmesg | grep -i nvrm` and `sudo dmesg | grep -i nvidia`

View File

@@ -5,13 +5,13 @@ In this tutorial, we are going to use JavaScript with LangChain and Ollama to le
To get started, let's just use **LangChain** to ask a simple question to a model. To do this with JavaScript, we need to install **LangChain**:
```bash
npm install langchain
npm install @langchain/community
```
Now we can start building out our JavaScript:
```javascript
import { Ollama } from "langchain/llms/ollama";
import { Ollama } from "@langchain/community/llms/ollama";
const ollama = new Ollama({
baseUrl: "http://localhost:11434",

View File

@@ -12,7 +12,7 @@ So let's figure out how we can use **LangChain** with Ollama to ask our question
Let's start by asking a simple question that we can get an answer to from the **Llama2** model using **Ollama**. First, we need to install the **LangChain** package:
`pip install langchain`
`pip install langchain_community`
Then we can create a model and ask the question:

View File

@@ -1,10 +0,0 @@
# Bash Shell examples
When calling `ollama`, you can pass it a file to run all the prompts in the file, one after the other:
`ollama run llama3 < sourcequestions.txt`
This concept is used in the following example.
## Compare Models
`comparemodels.sh` is a script that runs all the questions in `sourcequestions.txt` using any 4 models you choose that you have already pulled from the Ollama library or have created locally.

View File

@@ -1,64 +0,0 @@
#! /usr/bin/env bash
# Compare multiple models by running them with the same questions
NUMBEROFCHOICES=4
SELECTIONS=()
declare -a SUMS=()
# Get the list of models
CHOICES=$(ollama list | awk '{print $1}')
# Select which models to run as a comparison
echo "Select $NUMBEROFCHOICES models to compare:"
select ITEM in $CHOICES; do
if [[ -n $ITEM ]]; then
echo "You have selected $ITEM"
SELECTIONS+=("$ITEM")
((COUNT++))
if [[ $COUNT -eq $NUMBEROFCHOICES ]]; then
break
fi
else
echo "Invalid selection"
fi
done
# Loop through each of the selected models
for ITEM in "${SELECTIONS[@]}"; do
echo "--------------------------------------------------------------"
echo "Loading the model $ITEM into memory"
ollama run "$ITEM" ""
echo "--------------------------------------------------------------"
echo "Running the questions through the model $ITEM"
COMMAND_OUTPUT=$(ollama run "$ITEM" --verbose < sourcequestions.txt 2>&1| tee /dev/stderr)
# eval duration is sometimes listed in seconds and sometimes in milliseconds.
# Add up the values for each model
SUM=$(echo "$COMMAND_OUTPUT" | awk '
/eval duration:/ {
value = $3
if (index(value, "ms") > 0) {
gsub("ms", "", value)
value /= 1000
} else {
gsub("s", "", value)
}
sum += value
}
END { print sum }')
SUMS+=("All questions for $ITEM completed in $SUM seconds")
done
echo ""
echo "--------------------------------------------------------------"
echo -e "Sums of eval durations for each run:"
for val in "${SUMS[@]}"; do
echo "$val"
done
echo "--------------------------------------------------------------"
echo "Comparison complete. Now you can decide"
echo "which model is best."
echo "--------------------------------------------------------------"

View File

@@ -1,7 +0,0 @@
Why is the sky blue
What is a black hole
Explain the big bang theory like I am 5?
What is the quickest way to win a game of Monopoly with 3 others?
Why does a vacuum bottle keep my coffee hot and my milkshake cold?
What is the difference between a meteor, a meteorite, and a meteoroid?
Create an array with 5 items and print to the console. Do this in Python, C#, Typescript, and Rust.

View File

@@ -53,6 +53,8 @@ func HumanBytes(b int64) string {
func HumanBytes2(b uint64) string {
switch {
case b >= GibiByte:
return fmt.Sprintf("%.1f GiB", float64(b)/GibiByte)
case b >= MebiByte:
return fmt.Sprintf("%.1f MiB", float64(b)/MebiByte)
case b >= KibiByte:

View File

@@ -13,12 +13,20 @@ const (
func HumanNumber(b uint64) string {
switch {
case b > Billion:
return fmt.Sprintf("%.0fB", math.Round(float64(b)/Billion))
case b > Million:
return fmt.Sprintf("%.0fM", math.Round(float64(b)/Million))
case b > Thousand:
return fmt.Sprintf("%.0fK", math.Round(float64(b)/Thousand))
case b >= Billion:
number := float64(b) / Billion
if number == math.Floor(number) {
return fmt.Sprintf("%.0fB", number) // no decimals if whole number
}
return fmt.Sprintf("%.1fB", number) // one decimal if not a whole number
case b >= Million:
number := float64(b) / Million
if number == math.Floor(number) {
return fmt.Sprintf("%.0fM", number) // no decimals if whole number
}
return fmt.Sprintf("%.2fM", number) // two decimals if not a whole number
case b >= Thousand:
return fmt.Sprintf("%.0fK", float64(b)/Thousand)
default:
return fmt.Sprintf("%d", b)
}

34
format/format_test.go Normal file
View File

@@ -0,0 +1,34 @@
package format
import (
"testing"
)
func TestHumanNumber(t *testing.T) {
type testCase struct {
input uint64
expected string
}
testCases := []testCase{
{0, "0"},
{1000000, "1M"},
{125000000, "125M"},
{500500000, "500.50M"},
{500550000, "500.55M"},
{1000000000, "1B"},
{2800000000, "2.8B"},
{2850000000, "2.9B"},
{1000000000000, "1000B"},
}
for _, tc := range testCases {
t.Run(tc.expected, func(t *testing.T) {
result := HumanNumber(tc.input)
if result != tc.expected {
t.Errorf("Expected %s, got %s", tc.expected, result)
}
})
}
}

View File

@@ -3,7 +3,6 @@ package gpu
import (
"fmt"
"log/slog"
"strconv"
"syscall"
"unsafe"
@@ -74,16 +73,22 @@ func (hl *HipLib) Release() {
hl.dll = 0
}
func (hl *HipLib) AMDDriverVersion() (string, error) {
func (hl *HipLib) AMDDriverVersion() (driverMajor, driverMinor int, err error) {
if hl.dll == 0 {
return "", fmt.Errorf("dll has been unloaded")
return 0, 0, fmt.Errorf("dll has been unloaded")
}
var version int
status, _, err := syscall.SyscallN(hl.hipDriverGetVersion, uintptr(unsafe.Pointer(&version)))
if status != hipSuccess {
return "", fmt.Errorf("failed call to hipDriverGetVersion: %d %s", status, err)
return 0, 0, fmt.Errorf("failed call to hipDriverGetVersion: %d %s", status, err)
}
return strconv.Itoa(version), nil
slog.Debug("hipDriverGetVersion", "version", version)
// TODO - this isn't actually right, but the docs claim hipDriverGetVersion isn't accurate anyway...
driverMajor = version / 1000
driverMinor = (version - (driverMajor * 1000)) / 10
return driverMajor, driverMinor, nil
}
func (hl *HipLib) HipGetDeviceCount() int {

View File

@@ -8,6 +8,7 @@ import (
"log/slog"
"os"
"path/filepath"
"regexp"
"slices"
"strconv"
"strings"
@@ -41,10 +42,8 @@ func AMDGetGPUInfo() []GpuInfo {
}
// Opportunistic logging of driver version to aid in troubleshooting
ver, err := AMDDriverVersion()
if err == nil {
slog.Info("AMD Driver: " + ver)
} else {
driverMajor, driverMinor, err := AMDDriverVersion()
if err != nil {
// TODO - if we see users crash and burn with the upstreamed kernel this can be adjusted to hard-fail rocm support and fallback to CPU
slog.Warn("ollama recommends running the https://www.amd.com/en/support/linux-drivers", "error", err)
}
@@ -91,6 +90,7 @@ func AMDGetGPUInfo() []GpuInfo {
scanner := bufio.NewScanner(fp)
isCPU := false
var major, minor, patch uint64
var vendor, device uint64
for scanner.Scan() {
line := strings.TrimSpace(scanner.Text())
// Note: we could also use "cpu_cores_count X" where X is greater than zero to detect CPUs
@@ -118,6 +118,26 @@ func AMDGetGPUInfo() []GpuInfo {
slog.Debug("malformed int " + line)
continue
}
} else if strings.HasPrefix(line, "vendor_id") {
ver := strings.Fields(line)
if len(ver) != 2 {
slog.Debug("malformed vendor_id", "vendor_id", line)
continue
}
vendor, err = strconv.ParseUint(ver[1], 10, 32)
if err != nil {
slog.Debug("malformed vendor_id" + line)
}
} else if strings.HasPrefix(line, "device_id") {
ver := strings.Fields(line)
if len(ver) != 2 {
slog.Debug("malformed device_id", "device_id", line)
continue
}
device, err = strconv.ParseUint(ver[1], 10, 32)
if err != nil {
slog.Debug("malformed device_id" + line)
}
}
// TODO - any other properties we want to extract and record?
@@ -140,7 +160,7 @@ func AMDGetGPUInfo() []GpuInfo {
}
if int(major) < RocmComputeMin {
slog.Warn(fmt.Sprintf("amdgpu too old gfx%d%d%x", major, minor, patch), "gpu", gpuID)
slog.Warn(fmt.Sprintf("amdgpu too old gfx%d%x%x", major, minor, patch), "gpu", gpuID)
continue
}
@@ -210,24 +230,29 @@ func AMDGetGPUInfo() []GpuInfo {
// iGPU detection, remove this check once we can support an iGPU variant of the rocm library
if totalMemory < IGPUMemLimit {
slog.Info("amdgpu appears to be an iGPU, skipping", "gpu", gpuID, "total", format.HumanBytes2(totalMemory))
slog.Info("unsupported Radeon iGPU detected skipping", "id", gpuID, "total", format.HumanBytes2(totalMemory))
continue
}
var name string
// TODO - PCI ID lookup
if vendor > 0 && device > 0 {
name = fmt.Sprintf("%04x:%04x", vendor, device)
}
slog.Info("amdgpu memory", "gpu", gpuID, "total", format.HumanBytes2(totalMemory))
slog.Info("amdgpu memory", "gpu", gpuID, "available", format.HumanBytes2(totalMemory-usedMemory))
slog.Debug("amdgpu memory", "gpu", gpuID, "total", format.HumanBytes2(totalMemory))
slog.Debug("amdgpu memory", "gpu", gpuID, "available", format.HumanBytes2(totalMemory-usedMemory))
gpuInfo := GpuInfo{
Library: "rocm",
memInfo: memInfo{
TotalMemory: totalMemory,
FreeMemory: (totalMemory - usedMemory),
},
ID: fmt.Sprintf("%d", gpuID),
// Name: not exposed in sysfs directly, would require pci device id lookup
Major: int(major),
Minor: int(minor),
Patch: int(patch),
ID: fmt.Sprintf("%d", gpuID),
Name: name,
Compute: fmt.Sprintf("gfx%d%x%x", major, minor, patch),
MinimumMemory: rocmMinimumMemory,
DriverMajor: driverMajor,
DriverMinor: driverMinor,
}
// If the user wants to filter to a subset of devices, filter out if we aren't a match
@@ -266,7 +291,7 @@ func AMDGetGPUInfo() []GpuInfo {
}
slog.Debug("rocm supported GPUs", "types", supported)
}
gfx := fmt.Sprintf("gfx%d%d%x", gpuInfo.Major, gpuInfo.Minor, gpuInfo.Patch)
gfx := gpuInfo.Compute
if !slices.Contains[[]string, string](supported, gfx) {
slog.Warn("amdgpu is not supported", "gpu", gpuInfo.ID, "gpu_type", gfx, "library", libDir, "supported_types", supported)
// TODO - consider discrete markdown just for ROCM troubleshooting?
@@ -276,7 +301,7 @@ func AMDGetGPUInfo() []GpuInfo {
slog.Info("amdgpu is supported", "gpu", gpuInfo.ID, "gpu_type", gfx)
}
} else {
slog.Debug("skipping rocm gfx compatibility check with HSA_OVERRIDE_GFX_VERSION=" + gfxOverride)
slog.Info("skipping rocm gfx compatibility check", "HSA_OVERRIDE_GFX_VERSION", gfxOverride)
}
// The GPU has passed all the verification steps and is supported
@@ -322,19 +347,34 @@ func AMDValidateLibDir() (string, error) {
return "", fmt.Errorf("no suitable rocm found, falling back to CPU")
}
func AMDDriverVersion() (string, error) {
_, err := os.Stat(DriverVersionFile)
func AMDDriverVersion() (driverMajor, driverMinor int, err error) {
_, err = os.Stat(DriverVersionFile)
if err != nil {
return "", fmt.Errorf("amdgpu version file missing: %s %w", DriverVersionFile, err)
return 0, 0, fmt.Errorf("amdgpu version file missing: %s %w", DriverVersionFile, err)
}
fp, err := os.Open(DriverVersionFile)
if err != nil {
return "", err
return 0, 0, err
}
defer fp.Close()
verString, err := io.ReadAll(fp)
if err != nil {
return "", err
return 0, 0, err
}
return strings.TrimSpace(string(verString)), nil
pattern := `\A(\d+)\.(\d+).*`
regex := regexp.MustCompile(pattern)
match := regex.FindStringSubmatch(string(verString))
if len(match) < 2 {
return 0, 0, fmt.Errorf("malformed version string %s", string(verString))
}
driverMajor, err = strconv.Atoi(match[1])
if err != nil {
return 0, 0, err
}
driverMinor, err = strconv.Atoi(match[2])
if err != nil {
return 0, 0, err
}
return driverMajor, driverMinor, nil
}

View File

@@ -7,7 +7,6 @@ import (
"os"
"path/filepath"
"slices"
"strconv"
"strings"
"github.com/ollama/ollama/format"
@@ -34,13 +33,12 @@ func AMDGetGPUInfo() []GpuInfo {
}
defer hl.Release()
ver, err := hl.AMDDriverVersion()
if err == nil {
slog.Info("AMD Driver: " + ver)
} else {
// For now this is benign, but we may eventually need to fail compatibility checks
slog.Debug("error looking up amd driver version", "error", err)
}
// TODO - this reports incorrect version information, so omitting for now
// driverMajor, driverMinor, err := hl.AMDDriverVersion()
// if err != nil {
// // For now this is benign, but we may eventually need to fail compatibility checks
// slog.Debug("error looking up amd driver version", "error", err)
// }
// Note: the HIP library automatically handles subsetting to any HIP_VISIBLE_DEVICES the user specified
count := hl.HipGetDeviceCount()
@@ -62,10 +60,10 @@ func AMDGetGPUInfo() []GpuInfo {
return nil
}
} else {
slog.Debug("skipping rocm gfx compatibility check with HSA_OVERRIDE_GFX_VERSION=" + gfxOverride)
slog.Info("skipping rocm gfx compatibility check", "HSA_OVERRIDE_GFX_VERSION", gfxOverride)
}
slog.Info("detected hip devices", "count", count)
slog.Debug("detected hip devices", "count", count)
// TODO how to determine the underlying device ID when visible devices is causing this to subset?
for i := 0; i < count; i++ {
err = hl.HipSetDevice(i)
@@ -85,18 +83,11 @@ func AMDGetGPUInfo() []GpuInfo {
// Can luid be used on windows for setting visible devices (and is it actually set?)
n = bytes.IndexByte(props.GcnArchName[:], 0)
gfx := string(props.GcnArchName[:n])
slog.Info("hip device", "id", i, "name", name, "gfx", gfx)
var major, minor, patch string
switch len(gfx) {
case 6:
major, minor, patch = gfx[3:4], gfx[4:5], gfx[5:]
case 7:
major, minor, patch = gfx[3:5], gfx[5:6], gfx[6:]
}
slog.Debug("hip device", "id", i, "name", name, "gfx", gfx)
//slog.Info(fmt.Sprintf("[%d] Integrated: %d", i, props.iGPU)) // DOESN'T REPORT CORRECTLY! Always 0
// TODO Why isn't props.iGPU accurate!?
if strings.EqualFold(name, iGPUName) {
slog.Info("iGPU detected skipping", "id", i)
slog.Info("unsupported Radeon iGPU detected skipping", "id", i, "name", name, "gfx", gfx)
continue
}
if gfxOverride == "" {
@@ -106,7 +97,7 @@ func AMDGetGPUInfo() []GpuInfo {
slog.Warn("See https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md for HSA_OVERRIDE_GFX_VERSION usage")
continue
} else {
slog.Info("amdgpu is supported", "gpu", i, "gpu_type", gfx)
slog.Debug("amdgpu is supported", "gpu", i, "gpu_type", gfx)
}
}
@@ -124,8 +115,8 @@ func AMDGetGPUInfo() []GpuInfo {
// TODO revisit this once ROCm v6 is available on windows.
// v5.7 only reports VRAM used by this process, so it's completely wrong and unusable
slog.Info("amdgpu memory", "gpu", i, "total", format.HumanBytes2(totalMemory))
slog.Info("amdgpu memory", "gpu", i, "available", format.HumanBytes2(freeMemory))
slog.Debug("amdgpu memory", "gpu", i, "total", format.HumanBytes2(totalMemory))
slog.Debug("amdgpu memory", "gpu", i, "available", format.HumanBytes2(freeMemory))
gpuInfo := GpuInfo{
Library: "rocm",
memInfo: memInfo{
@@ -135,31 +126,12 @@ func AMDGetGPUInfo() []GpuInfo {
ID: fmt.Sprintf("%d", i), // TODO this is probably wrong if we specify visible devices
DependencyPath: libDir,
MinimumMemory: rocmMinimumMemory,
}
if major != "" {
gpuInfo.Major, err = strconv.Atoi(major)
if err != nil {
slog.Info("failed to parse version", "version", gfx, "error", err)
}
}
if minor != "" {
gpuInfo.Minor, err = strconv.Atoi(minor)
if err != nil {
slog.Info("failed to parse version", "version", gfx, "error", err)
}
}
if patch != "" {
// Patch rev is hex; e.g. gfx90a
p, err := strconv.ParseInt(patch, 16, 0)
if err != nil {
slog.Info("failed to parse version", "version", gfx, "error", err)
} else {
gpuInfo.Patch = int(p)
}
}
if gpuInfo.Major < RocmComputeMin {
slog.Warn(fmt.Sprintf("amdgpu [%s] too old gfx%d%d%x", gpuInfo.ID, gpuInfo.Major, gpuInfo.Minor, gpuInfo.Patch))
continue
Name: name,
Compute: gfx,
// TODO - this information isn't accurate on windows, so don't report it until we find the right way to retrieve
// DriverMajor: driverMajor,
// DriverMinor: driverMinor,
}
resp = append(resp, gpuInfo)

View File

@@ -8,14 +8,14 @@ import (
func GetCPUVariant() string {
if cpu.X86.HasAVX2 {
slog.Info("CPU has AVX2")
slog.Debug("CPU has AVX2")
return "avx2"
}
if cpu.X86.HasAVX {
slog.Info("CPU has AVX")
slog.Debug("CPU has AVX")
return "avx"
}
slog.Info("CPU does not have vector extensions")
slog.Debug("CPU does not have vector extensions")
// else LCD
return ""
}

View File

@@ -31,8 +31,8 @@ type handles struct {
}
const (
cudaMinimumMemory = 256 * format.MebiByte
rocmMinimumMemory = 256 * format.MebiByte
cudaMinimumMemory = 457 * format.MebiByte
rocmMinimumMemory = 457 * format.MebiByte
)
var gpuMutex sync.Mutex
@@ -119,12 +119,12 @@ func initGPUHandles() *handles {
return gpuHandles
}
slog.Info("Detecting GPUs")
slog.Debug("Detecting GPUs")
nvcudaLibPaths := FindGPULibs(nvcudaMgmtName, nvcudaMgmtPatterns)
if len(nvcudaLibPaths) > 0 {
deviceCount, nvcuda, libPath := LoadNVCUDAMgmt(nvcudaLibPaths)
if nvcuda != nil {
slog.Info("detected GPUs", "count", deviceCount, "library", libPath)
slog.Debug("detected GPUs", "count", deviceCount, "library", libPath)
gpuHandles.nvcuda = nvcuda
gpuHandles.deviceCount = deviceCount
return gpuHandles
@@ -135,7 +135,7 @@ func initGPUHandles() *handles {
if len(cudartLibPaths) > 0 {
deviceCount, cudart, libPath := LoadCUDARTMgmt(cudartLibPaths)
if cudart != nil {
slog.Info("detected GPUs", "library", libPath, "count", deviceCount)
slog.Debug("detected GPUs", "library", libPath, "count", deviceCount)
gpuHandles.cudart = cudart
gpuHandles.deviceCount = deviceCount
return gpuHandles
@@ -184,10 +184,14 @@ func GetGPUInfo() GpuInfoList {
gpuInfo := GpuInfo{
Library: "cuda",
}
var driverMajor int
var driverMinor int
if gpuHandles.cudart != nil {
C.cudart_check_vram(*gpuHandles.cudart, C.int(i), &memInfo)
} else {
C.nvcuda_check_vram(*gpuHandles.nvcuda, C.int(i), &memInfo)
driverMajor = int(gpuHandles.nvcuda.driver_major)
driverMinor = int(gpuHandles.nvcuda.driver_minor)
}
if memInfo.err != nil {
slog.Info("error looking up nvidia GPU memory", "error", C.GoString(memInfo.err))
@@ -201,10 +205,12 @@ func GetGPUInfo() GpuInfoList {
gpuInfo.TotalMemory = uint64(memInfo.total)
gpuInfo.FreeMemory = uint64(memInfo.free)
gpuInfo.ID = C.GoString(&memInfo.gpu_id[0])
gpuInfo.Major = int(memInfo.major)
gpuInfo.Minor = int(memInfo.minor)
gpuInfo.Compute = fmt.Sprintf("%d.%d", memInfo.major, memInfo.minor)
gpuInfo.MinimumMemory = cudaMinimumMemory
gpuInfo.DependencyPath = depPath
gpuInfo.Name = C.GoString(&memInfo.gpu_name[0])
gpuInfo.DriverMajor = int(driverMajor)
gpuInfo.DriverMinor = int(driverMinor)
// TODO potentially sort on our own algorithm instead of what the underlying GPU library does...
resp = append(resp, gpuInfo)

View File

@@ -15,7 +15,7 @@ import (
)
const (
metalMinimumMemory = 384 * format.MebiByte
metalMinimumMemory = 512 * format.MebiByte
)
func GetGPUInfo() GpuInfoList {

View File

@@ -39,16 +39,19 @@ extern "C" {
#endif
#define GPU_ID_LEN 64
#define GPU_NAME_LEN 96
typedef struct mem_info {
char *err; // If non-nill, caller responsible for freeing
char gpu_id[GPU_ID_LEN];
char gpu_name[GPU_NAME_LEN];
uint64_t total;
uint64_t free;
// Compute Capability
int major;
int minor;
int patch;
} mem_info_t;
void cpu_check_ram(mem_info_t *resp);

View File

@@ -10,8 +10,6 @@ void cpu_check_ram(mem_info_t *resp) {
if (GlobalMemoryStatusEx(&info) != 0) {
resp->total = info.ullTotalPhys;
resp->free = info.ullAvailPhys;
resp->major = 0;
resp->minor = 0;
snprintf(&resp->gpu_id[0], GPU_ID_LEN, "0");
} else {
resp->err = LOAD_ERR();
@@ -31,8 +29,6 @@ void cpu_check_ram(mem_info_t *resp) {
} else {
resp->total = info.totalram * info.mem_unit;
resp->free = info.freeram * info.mem_unit;
resp->major = 0;
resp->minor = 0;
snprintf(&resp->gpu_id[0], GPU_ID_LEN, "0");
}
return;

View File

@@ -22,6 +22,7 @@ void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
{"cuDeviceGet", (void *)&resp->ch.cuDeviceGet},
{"cuDeviceGetAttribute", (void *)&resp->ch.cuDeviceGetAttribute},
{"cuDeviceGetUuid", (void *)&resp->ch.cuDeviceGetUuid},
{"cuDeviceGetName", (void *)&resp->ch.cuDeviceGetName},
{"cuCtxCreate_v3", (void *)&resp->ch.cuCtxCreate_v3},
{"cuMemGetInfo_v2", (void *)&resp->ch.cuMemGetInfo_v2},
{"cuCtxDestroy", (void *)&resp->ch.cuCtxDestroy},
@@ -70,18 +71,17 @@ void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
}
int version = 0;
nvcudaDriverVersion_t driverVersion;
driverVersion.major = 0;
driverVersion.minor = 0;
resp->ch.driver_major = 0;
resp->ch.driver_minor = 0;
// Report driver version if we're in verbose mode, ignore errors
ret = (*resp->ch.cuDriverGetVersion)(&version);
if (ret != CUDA_SUCCESS) {
LOG(resp->ch.verbose, "cuDriverGetVersion failed: %d\n", ret);
} else {
driverVersion.major = version / 1000;
driverVersion.minor = (version - (driverVersion.major * 1000)) / 10;
LOG(resp->ch.verbose, "CUDA driver version: %d-%d\n", driverVersion.major, driverVersion.minor);
resp->ch.driver_major = version / 1000;
resp->ch.driver_minor = (version - (resp->ch.driver_major * 1000)) / 10;
LOG(resp->ch.verbose, "CUDA driver version: %d.%d\n", resp->ch.driver_major, resp->ch.driver_minor);
}
ret = (*resp->ch.cuDeviceGetCount)(&resp->num_devices);
@@ -117,8 +117,6 @@ void nvcuda_check_vram(nvcuda_handle_t h, int i, mem_info_t *resp) {
return;
}
resp->major = 0;
resp->minor = 0;
int major = 0;
int minor = 0;
ret = (*h.cuDeviceGetAttribute)(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, device);
@@ -161,6 +159,12 @@ void nvcuda_check_vram(nvcuda_handle_t h, int i, mem_info_t *resp) {
);
}
ret = (*h.cuDeviceGetName)(&resp->gpu_name[0], GPU_NAME_LEN, device);
if (ret != CUDA_SUCCESS) {
LOG(h.verbose, "[%d] device name lookup failure: %d\n", i, ret);
resp->gpu_name[0] = '\0';
}
// To get memory we have to set (and release) a context
ret = (*h.cuCtxCreate_v3)(&ctx, NULL, 0, 0, device);
if (ret != CUDA_SUCCESS) {

View File

@@ -44,12 +44,15 @@ typedef void* CUcontext;
typedef struct nvcuda_handle {
void *handle;
uint16_t verbose;
int driver_major;
int driver_minor;
CUresult (*cuInit)(unsigned int Flags);
CUresult (*cuDriverGetVersion)(int *driverVersion);
CUresult (*cuDeviceGetCount)(int *);
CUresult (*cuDeviceGet)(CUdevice* device, int ordinal);
CUresult (*cuDeviceGetAttribute)(int* pi, CUdevice_attribute attrib, CUdevice dev);
CUresult (*cuDeviceGetUuid)(CUuuid* uuid, CUdevice dev); // signature compatible with cuDeviceGetUuid_v2
CUresult (*cuDeviceGetName)(char *name, int len, CUdevice dev);
// Context specific aspects
CUresult (*cuCtxCreate_v3)(CUcontext* pctx, void *params, int len, unsigned int flags, CUdevice dev);

View File

@@ -1,5 +1,12 @@
package gpu
import (
"fmt"
"log/slog"
"github.com/ollama/ollama/format"
)
type memInfo struct {
TotalMemory uint64 `json:"total_memory,omitempty"`
FreeMemory uint64 `json:"free_memory,omitempty"`
@@ -20,11 +27,13 @@ type GpuInfo struct {
DependencyPath string `json:"lib_path,omitempty"`
// GPU information
ID string `json:"gpu_id"` // string to use for selection of this specific GPU
Name string `json:"name"` // user friendly name if available
Major int `json:"major,omitempty"` // Major compatibility version (CC or gfx)
Minor int `json:"minor,omitempty"` // Minor compatibility version (CC or gfx)
Patch int `json:"patch,omitempty"` // Patch compatibility only matters on AMD
ID string `json:"gpu_id"` // string to use for selection of this specific GPU
Name string `json:"name"` // user friendly name if available
Compute string `json:"compute"` // Compute Capability or gfx
// Driver Information - TODO no need to put this on each GPU
DriverMajor int `json:"driver_major,omitempty"`
DriverMinor int `json:"driver_minor,omitempty"`
// TODO other performance capability info to help in scheduling decisions
}
@@ -56,6 +65,21 @@ func (l GpuInfoList) ByLibrary() []GpuInfoList {
return resp
}
// Report the GPU information into the log an Info level
func (l GpuInfoList) LogDetails() {
for _, g := range l {
slog.Info("inference compute",
"id", g.ID,
"library", g.Library,
"compute", g.Compute,
"driver", fmt.Sprintf("%d.%d", g.DriverMajor, g.DriverMinor),
"name", g.Name,
"total", format.HumanBytes2(g.TotalMemory),
"available", format.HumanBytes2(g.FreeMemory),
)
}
}
// Sort by Free Space
type ByFreeMemory []GpuInfo

View File

@@ -107,7 +107,7 @@ func startServer(ctx context.Context, ollamaHost string) error {
if tmp := os.Getenv("OLLAMA_HOST"); tmp != ollamaHost {
slog.Info("setting env", "OLLAMA_HOST", ollamaHost)
os.Setenv("OLLAMA_HOST", ollamaHost)
t.Setenv("OLLAMA_HOST", ollamaHost)
}
slog.Info("starting server", "url", ollamaHost)

View File

@@ -66,7 +66,7 @@ struct server_params {
};
bool server_verbose = false;
bool server_log_json = true;
bool server_log_json = false;
enum stop_type {
STOP_FULL,
@@ -266,7 +266,7 @@ struct server_slot {
sprintf(buffer, "prompt eval time = %10.2f ms / %5d tokens (%8.2f ms per token, %8.2f tokens per second)",
t_prompt_processing, n_prompt_tokens_processed,
t_token, n_tokens_second);
LOG_INFO(buffer, {
LOG_DEBUG(buffer, {
{"slot_id", id},
{"task_id", task_id},
{"t_prompt_processing", t_prompt_processing},
@@ -280,7 +280,7 @@ struct server_slot {
sprintf(buffer, "generation eval time = %10.2f ms / %5d runs (%8.2f ms per token, %8.2f tokens per second)",
t_token_generation, n_decoded,
t_token, n_tokens_second);
LOG_INFO(buffer, {
LOG_DEBUG(buffer, {
{"slot_id", id},
{"task_id", task_id},
{"t_token_generation", t_token_generation},
@@ -290,7 +290,7 @@ struct server_slot {
});
sprintf(buffer, " total time = %10.2f ms", t_prompt_processing + t_token_generation);
LOG_INFO(buffer, {
LOG_DEBUG(buffer, {
{"slot_id", id},
{"task_id", task_id},
{"t_prompt_processing", t_prompt_processing},
@@ -371,7 +371,7 @@ struct llama_server_context
{
if (clp_ctx)
{
LOG_INFO("freeing clip model", {});
LOG_DEBUG("freeing clip model", {});
clip_free(clp_ctx);
clp_ctx = nullptr;
}
@@ -392,7 +392,7 @@ struct llama_server_context
params = params_;
if (!params.mmproj.empty()) {
multimodal = true;
LOG_INFO("Multi Modal Mode Enabled", {});
LOG_DEBUG("Multi Modal Mode Enabled", {});
clp_ctx = clip_model_load(params.mmproj.c_str(), /*verbosity=*/ 1);
if(clp_ctx == nullptr) {
LOG_ERROR("unable to load clip model", {{"model", params.mmproj}});
@@ -445,7 +445,7 @@ struct llama_server_context
const int32_t n_ctx_slot = n_ctx / params.n_parallel;
LOG_INFO("initializing slots", {{"n_slots", params.n_parallel}});
LOG_DEBUG("initializing slots", {{"n_slots", params.n_parallel}});
for (int i = 0; i < params.n_parallel; i++)
{
server_slot slot;
@@ -454,7 +454,7 @@ struct llama_server_context
slot.n_ctx = n_ctx_slot;
slot.n_predict = params.n_predict;
LOG_INFO("new slot", {
LOG_DEBUG("new slot", {
{"slot_id", slot.id},
{"n_ctx_slot", slot.n_ctx}
});
@@ -468,7 +468,7 @@ struct llama_server_context
//GGML_ASSERT(n_ctx_train % ga_w == 0 && "n_ctx_train must be a multiple of ga_w"); // NOLINT
//GGML_ASSERT(n_ctx >= n_ctx_train * ga_n && "n_ctx must be at least n_ctx_train * ga_n"); // NOLINT
LOG_INFO("slot self-extend", {
LOG_DEBUG("slot self-extend", {
{"slot_id", slot.id},
{"ga_n", ga_n},
{"ga_w", ga_w}
@@ -827,7 +827,7 @@ struct llama_server_context
all_slots_are_idle = false;
LOG_INFO("slot is processing task", {
LOG_DEBUG("slot is processing task", {
{"slot_id", slot->id},
{"task_id", slot->task_id},
});
@@ -1504,7 +1504,7 @@ struct llama_server_context
}
slots_data.push_back(slot_data);
}
LOG_INFO("slot data", {
LOG_DEBUG("slot data", {
{"task_id", task.id},
{"n_idle_slots", n_idle_slots},
{"n_processing_slots", n_processing_slots}
@@ -1566,7 +1566,7 @@ struct llama_server_context
bool update_slots() {
if (system_need_update)
{
LOG_INFO("updating system prompt", {});
LOG_DEBUG("updating system prompt", {});
system_prompt_update();
}
@@ -1576,7 +1576,7 @@ struct llama_server_context
{
if (system_prompt.empty() && clean_kv_cache)
{
LOG_INFO("all slots are idle and system prompt is empty, clear the KV cache", {});
LOG_DEBUG("all slots are idle and system prompt is empty, clear the KV cache", {});
kv_cache_clear();
}
return true;
@@ -1599,7 +1599,7 @@ struct llama_server_context
const int n_left = (int) system_tokens.size() + slot.n_past - n_keep;
const int n_discard = n_left / 2;
LOG_INFO("slot context shift", {
LOG_DEBUG("slot context shift", {
{"slot_id", slot.id},
{"task_id", slot.task_id},
{"n_keep", n_keep},
@@ -1638,7 +1638,7 @@ struct llama_server_context
slot.command = NONE;
slot.t_last_used = ggml_time_us();
LOG_INFO("slot released", {
LOG_DEBUG("slot released", {
{"slot_id", slot.id},
{"task_id", slot.task_id},
{"n_ctx", n_ctx},
@@ -1807,7 +1807,7 @@ struct llama_server_context
slot.ga_i = ga_i;
}
LOG_INFO("slot progression", {
LOG_DEBUG("slot progression", {
{ "slot_id", slot.id },
{ "task_id", slot.task_id },
{ "n_past", slot.n_past },
@@ -1822,7 +1822,7 @@ struct llama_server_context
if (slot.n_past == slot.n_prompt_tokens && slot.n_past > 0)
{
// we have to evaluate at least 1 token to generate logits.
LOG_INFO("we have to evaluate at least 1 token to generate logits", {
LOG_DEBUG("we have to evaluate at least 1 token to generate logits", {
{ "slot_id", slot.id },
{ "task_id", slot.task_id }
});
@@ -1834,7 +1834,7 @@ struct llama_server_context
}
int p0 = (int) system_tokens.size() + slot.n_past;
LOG_INFO("kv cache rm [p0, end)", {
LOG_DEBUG("kv cache rm [p0, end)", {
{ "slot_id", slot.id },
{ "task_id", slot.task_id },
{ "p0", p0 }
@@ -2491,11 +2491,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
}
else if (arg == "-v" || arg == "--verbose")
{
#if SERVER_VERBOSE != 1
LOG_WARNING("server.cpp is not built with verbose logging.", {});
#else
server_verbose = true;
#endif
}
else if (arg == "--mlock")
{
@@ -2601,7 +2597,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
else if (arg == "--log-disable")
{
log_set_target(stdout);
LOG_INFO("logging to file is disabled.", {});
LOG_DEBUG("logging to file is disabled.", {});
}
else if (arg == "--slots-endpoint-disable")
{
@@ -2727,12 +2723,12 @@ static json format_detokenized_response(std::string content)
static void log_server_request(const httplib::Request &req, const httplib::Response &res)
{
// skip GH copilot requests when using default port
if (req.path == "/v1/health" || req.path == "/v1/completions")
if (req.path == "/health" || req.path == "/v1/health" || req.path == "/v1/completions")
{
return;
}
LOG_INFO("request", {
LOG_DEBUG("request", {
{"remote_addr", req.remote_addr},
{"remote_port", req.remote_port},
{"status", res.status},
@@ -3054,6 +3050,26 @@ int main(int argc, char **argv) {
log_data["api_key"] = "api_key: " + std::to_string(sparams.api_keys.size()) + " keys loaded";
}
if (sparams.n_threads_http < 1) {
// +2 threads for monitoring endpoints
sparams.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
}
log_data["n_threads_http"] = std::to_string(sparams.n_threads_http);
svr.new_task_queue = [&sparams] { return new httplib::ThreadPool(sparams.n_threads_http); };
LOG_INFO("HTTP server listening", log_data);
// run the HTTP server in a thread - see comment below
std::thread t([&]()
{
if (!svr.listen_after_bind())
{
state.store(SERVER_STATE_ERROR);
return 1;
}
return 0;
});
// load the model
if (!llama.load_model(params))
{
@@ -3258,26 +3274,6 @@ int main(int argc, char **argv) {
}*/
//);
if (sparams.n_threads_http < 1) {
// +2 threads for monitoring endpoints
sparams.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
}
log_data["n_threads_http"] = std::to_string(sparams.n_threads_http);
svr.new_task_queue = [&sparams] { return new httplib::ThreadPool(sparams.n_threads_http); };
LOG_INFO("HTTP server listening", log_data);
// run the HTTP server in a thread - see comment below
std::thread t([&]()
{
if (!svr.listen_after_bind())
{
state.store(SERVER_STATE_ERROR);
return 1;
}
return 0;
});
llama.queue_tasks.on_new_task(std::bind(
&llama_server_context::process_single_task, &llama, std::placeholders::_1));
llama.queue_tasks.on_finish_multitask(std::bind(

View File

@@ -55,9 +55,10 @@ extern bool server_log_json;
} while (0)
#endif
#define LOG_ERROR( MSG, ...) server_log("ERR", __func__, __LINE__, MSG, __VA_ARGS__)
#define LOG_ERROR( MSG, ...) server_log("ERROR", __func__, __LINE__, MSG, __VA_ARGS__)
#define LOG_WARNING(MSG, ...) server_log("WARN", __func__, __LINE__, MSG, __VA_ARGS__)
#define LOG_INFO( MSG, ...) server_log("INFO", __func__, __LINE__, MSG, __VA_ARGS__)
#define LOG_DEBUG( MSG, ...) server_log("DEBUG", __func__, __LINE__, MSG, __VA_ARGS__)
enum server_state {
SERVER_STATE_LOADING_MODEL, // Server is starting up, model not fully loaded yet
@@ -123,6 +124,10 @@ static inline void server_log(const char *level, const char *function, int line,
{"timestamp", time(nullptr)},
};
if (strncmp("DEBUG", level, strlen(level)) == 0 && !server_verbose) {
return;
}
if (server_log_json) {
log.merge_patch(
{
@@ -137,14 +142,12 @@ static inline void server_log(const char *level, const char *function, int line,
std::cout << log.dump(-1, ' ', false, json::error_handler_t::replace) << "\n" << std::flush;
} else {
char buf[1024];
snprintf(buf, 1024, "%4s [%24s] %s", level, function, message);
if (!extra.empty()) {
log.merge_patch(extra);
}
std::stringstream ss;
ss << buf << " |";
ss << level << " [" << function << "] " << message << " |";
for (const auto& el : log.items())
{
const std::string value = el.value().dump(-1, ' ', false, json::error_handler_t::replace);

140
llm/filetype.go Normal file
View File

@@ -0,0 +1,140 @@
package llm
import "fmt"
type fileType uint32
const (
fileTypeF32 fileType = iota
fileTypeF16
fileTypeQ4_0
fileTypeQ4_1
fileTypeQ4_1_F16
fileTypeQ4_2 // unused
fileTypeQ4_3 // unused
fileTypeQ8_0
fileTypeQ5_0
fileTypeQ5_1
fileTypeQ2_K
fileTypeQ3_K_S
fileTypeQ3_K_M
fileTypeQ3_K_L
fileTypeQ4_K_S
fileTypeQ4_K_M
fileTypeQ5_K_S
fileTypeQ5_K_M
fileTypeQ6_K
fileTypeIQ2_XXS
fileTypeIQ2_XS
fileTypeQ2_K_S
fileTypeQ3_K_XS
fileTypeIQ3_XXS
fileTypeUnknown
)
func ParseFileType(s string) (fileType, error) {
switch s {
case "F32":
return fileTypeF32, nil
case "F16":
return fileTypeF16, nil
case "Q4_0":
return fileTypeQ4_0, nil
case "Q4_1":
return fileTypeQ4_1, nil
case "Q4_1_F16":
return fileTypeQ4_1_F16, nil
case "Q8_0":
return fileTypeQ8_0, nil
case "Q5_0":
return fileTypeQ5_0, nil
case "Q5_1":
return fileTypeQ5_1, nil
case "Q2_K":
return fileTypeQ2_K, nil
case "Q3_K_S":
return fileTypeQ3_K_S, nil
case "Q3_K_M":
return fileTypeQ3_K_M, nil
case "Q3_K_L":
return fileTypeQ3_K_L, nil
case "Q4_K_S":
return fileTypeQ4_K_S, nil
case "Q4_K_M":
return fileTypeQ4_K_M, nil
case "Q5_K_S":
return fileTypeQ5_K_S, nil
case "Q5_K_M":
return fileTypeQ5_K_M, nil
case "Q6_K":
return fileTypeQ6_K, nil
case "IQ2_XXS":
return fileTypeIQ2_XXS, nil
case "IQ2_XS":
return fileTypeIQ2_XS, nil
case "Q2_K_S":
return fileTypeQ2_K_S, nil
case "Q3_K_XS":
return fileTypeQ3_K_XS, nil
case "IQ3_XXS":
return fileTypeIQ3_XXS, nil
default:
return fileTypeUnknown, fmt.Errorf("unknown fileType: %s", s)
}
}
func (t fileType) String() string {
switch t {
case fileTypeF32:
return "F32"
case fileTypeF16:
return "F16"
case fileTypeQ4_0:
return "Q4_0"
case fileTypeQ4_1:
return "Q4_1"
case fileTypeQ4_1_F16:
return "Q4_1_F16"
case fileTypeQ8_0:
return "Q8_0"
case fileTypeQ5_0:
return "Q5_0"
case fileTypeQ5_1:
return "Q5_1"
case fileTypeQ2_K:
return "Q2_K"
case fileTypeQ3_K_S:
return "Q3_K_S"
case fileTypeQ3_K_M:
return "Q3_K_M"
case fileTypeQ3_K_L:
return "Q3_K_L"
case fileTypeQ4_K_S:
return "Q4_K_S"
case fileTypeQ4_K_M:
return "Q4_K_M"
case fileTypeQ5_K_S:
return "Q5_K_S"
case fileTypeQ5_K_M:
return "Q5_K_M"
case fileTypeQ6_K:
return "Q6_K"
case fileTypeIQ2_XXS:
return "IQ2_XXS"
case fileTypeIQ2_XS:
return "IQ2_XS"
case fileTypeQ2_K_S:
return "Q2_K_S"
case fileTypeQ3_K_XS:
return "Q3_K_XS"
case fileTypeIQ3_XXS:
return "IQ3_XXS"
default:
return "unknown"
}
}
func (t fileType) Value() uint32 {
return uint32(t)
}

View File

@@ -13,82 +13,6 @@ type GGML struct {
model
}
const (
fileTypeF32 uint32 = iota
fileTypeF16
fileTypeQ4_0
fileTypeQ4_1
fileTypeQ4_1_F16
fileTypeQ8_0 uint32 = iota + 2
fileTypeQ5_0
fileTypeQ5_1
fileTypeQ2_K
fileTypeQ3_K_S
fileTypeQ3_K_M
fileTypeQ3_K_L
fileTypeQ4_K_S
fileTypeQ4_K_M
fileTypeQ5_K_S
fileTypeQ5_K_M
fileTypeQ6_K
fileTypeIQ2_XXS
fileTypeIQ2_XS
fileTypeQ2_K_S
fileTypeQ3_K_XS
fileTypeIQ3_XXS
)
func fileType(fileType uint32) string {
switch fileType {
case fileTypeF32:
return "F32"
case fileTypeF16:
return "F16"
case fileTypeQ4_0:
return "Q4_0"
case fileTypeQ4_1:
return "Q4_1"
case fileTypeQ4_1_F16:
return "Q4_1_F16"
case fileTypeQ8_0:
return "Q8_0"
case fileTypeQ5_0:
return "Q5_0"
case fileTypeQ5_1:
return "Q5_1"
case fileTypeQ2_K:
return "Q2_K"
case fileTypeQ3_K_S:
return "Q3_K_S"
case fileTypeQ3_K_M:
return "Q3_K_M"
case fileTypeQ3_K_L:
return "Q3_K_L"
case fileTypeQ4_K_S:
return "Q4_K_S"
case fileTypeQ4_K_M:
return "Q4_K_M"
case fileTypeQ5_K_S:
return "Q5_K_S"
case fileTypeQ5_K_M:
return "Q5_K_M"
case fileTypeQ6_K:
return "Q6_K"
case fileTypeIQ2_XXS:
return "IQ2_XXS"
case fileTypeIQ2_XS:
return "IQ2_XS"
case fileTypeQ2_K_S:
return "Q2_K_S"
case fileTypeQ3_K_XS:
return "Q3_K_XS"
case fileTypeIQ3_XXS:
return "IQ3_XXS"
default:
return "unknown"
}
}
type model interface {
KV() KV
Tensors() Tensors
@@ -121,12 +45,12 @@ func (kv KV) ParameterCount() uint64 {
return kv.u64("general.parameter_count")
}
func (kv KV) FileType() string {
func (kv KV) FileType() fileType {
if u64 := kv.u64("general.file_type"); u64 > 0 {
return fileType(uint32(u64))
}
return "unknown"
return fileTypeUnknown
}
func (kv KV) BlockCount() uint64 {
@@ -286,6 +210,23 @@ const (
var ErrUnsupportedFormat = errors.New("unsupported model format")
func DetectGGMLType(b []byte) string {
switch binary.LittleEndian.Uint32(b[:4]) {
case FILE_MAGIC_GGML:
return "ggml"
case FILE_MAGIC_GGMF:
return "ggmf"
case FILE_MAGIC_GGJT:
return "ggjt"
case FILE_MAGIC_GGLA:
return "ggla"
case FILE_MAGIC_GGUF_LE, FILE_MAGIC_GGUF_BE:
return "gguf"
default:
return ""
}
}
func DecodeGGML(rs io.ReadSeeker) (*GGML, int64, error) {
var magic uint32
if err := binary.Read(rs, binary.LittleEndian, &magic); err != nil {

View File

@@ -20,7 +20,7 @@ func SystemInfo() string {
return C.GoString(C.llama_print_system_info())
}
func Quantize(infile, outfile, filetype string) error {
func Quantize(infile, outfile string, ftype fileType) error {
cinfile := C.CString(infile)
defer C.free(unsafe.Pointer(cinfile))
@@ -29,58 +29,10 @@ func Quantize(infile, outfile, filetype string) error {
params := C.llama_model_quantize_default_params()
params.nthread = -1
params.ftype = ftype.Value()
switch filetype {
case "F32":
params.ftype = fileTypeF32
case "F16":
params.ftype = fileTypeF16
case "Q4_0":
params.ftype = fileTypeQ4_0
case "Q4_1":
params.ftype = fileTypeQ4_1
case "Q4_1_F16":
params.ftype = fileTypeQ4_1_F16
case "Q8_0":
params.ftype = fileTypeQ8_0
case "Q5_0":
params.ftype = fileTypeQ5_0
case "Q5_1":
params.ftype = fileTypeQ5_1
case "Q2_K":
params.ftype = fileTypeQ2_K
case "Q3_K_S":
params.ftype = fileTypeQ3_K_S
case "Q3_K_M":
params.ftype = fileTypeQ3_K_M
case "Q3_K_L":
params.ftype = fileTypeQ3_K_L
case "Q4_K_S":
params.ftype = fileTypeQ4_K_S
case "Q4_K_M":
params.ftype = fileTypeQ4_K_M
case "Q5_K_S":
params.ftype = fileTypeQ5_K_S
case "Q5_K_M":
params.ftype = fileTypeQ5_K_M
case "Q6_K":
params.ftype = fileTypeQ6_K
case "IQ2_XXS":
params.ftype = fileTypeIQ2_XXS
case "IQ2_XS":
params.ftype = fileTypeIQ2_XS
case "Q2_K_S":
params.ftype = fileTypeQ2_K_S
case "Q3_K_XS":
params.ftype = fileTypeQ3_K_XS
case "IQ3_XXS":
params.ftype = fileTypeIQ3_XXS
default:
return fmt.Errorf("unknown filetype: %s", filetype)
}
if retval := C.llama_model_quantize(cinfile, coutfile, &params); retval != 0 {
return fmt.Errorf("llama_model_quantize: %d", retval)
if rc := C.llama_model_quantize(cinfile, coutfile, &params); rc != 0 {
return fmt.Errorf("llama_model_quantize: %d", rc)
}
return nil

View File

@@ -25,7 +25,7 @@ func PredictServerFit(allGpus gpu.GpuInfoList, ggml *GGML, adapters, projectors
// Split up the GPUs by type and try them
for _, gpus := range allGpus.ByLibrary() {
var layerCount int
layerCount, estimatedVRAM = EstimateGPULayers(gpus, ggml, projectors, opts)
layerCount, estimatedVRAM, _ = EstimateGPULayers(gpus, ggml, projectors, opts)
if opts.NumGPU < 0 {
if layerCount > 0 && layerCount >= int(ggml.KV().BlockCount()+1) {
return true, estimatedVRAM
@@ -39,12 +39,9 @@ func PredictServerFit(allGpus gpu.GpuInfoList, ggml *GGML, adapters, projectors
return false, estimatedVRAM
}
// Given a model and one or more GPU targets, predict how many layers and bytes we can load
// Given a model and one or more GPU targets, predict how many layers and bytes we can load, and the total size
// The GPUs provided must all be the same Library
func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts api.Options) (int, uint64) {
if gpus[0].Library == "cpu" {
return 0, 0
}
func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts api.Options) (int, uint64, uint64) {
var memoryAvailable uint64
for _, info := range gpus {
memoryAvailable += info.FreeMemory
@@ -93,11 +90,6 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
// memoryRequiredPartial represents the memory required for partial GPU offloading (n > 0, n < layers)
memoryRequiredPartial := memoryMinimum + graphPartialOffload + layers["blk.0"].size()
if memoryRequiredPartial > memoryAvailable {
slog.Debug("insufficient VRAM to load any model layers")
return 0, 0
}
var memoryLayerOutput uint64
if layer, ok := layers["output_norm"]; ok {
memoryLayerOutput += layer.size()
@@ -181,5 +173,13 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
),
),
)
return layerCount, uint64(memoryRequiredPartial)
if gpus[0].Library == "cpu" {
return 0, 0, memoryRequiredTotal
}
if memoryRequiredPartial > memoryAvailable {
slog.Debug("insufficient VRAM to load any model layers")
return 0, 0, memoryRequiredTotal
}
return layerCount, memoryRequiredPartial, memoryRequiredTotal
}

View File

@@ -49,7 +49,11 @@ type llmServer struct {
options api.Options
// TODO - this should be broken down by GPU
estimatedVRAM uint64 // Estimated usage of VRAM by the loaded model
estimatedVRAM uint64 // Estimated usage of VRAM by the loaded model
estimatedTotal uint64 // Total size of model
totalLayers uint64
gpuCount int
loadDuration time.Duration // Record how long it took the model to load
sem *semaphore.Weighted
}
@@ -83,12 +87,15 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
cpuRunner := ""
var estimatedVRAM uint64
var estimatedTotal uint64
var systemMemory uint64
gpuCount := len(gpus)
if (len(gpus) == 1 && gpus[0].Library == "cpu") || opts.NumGPU == 0 {
// TODO evaluate system memory to see if we should block the load, or force an unload of another CPU runner
cpuRunner = serverForCpu()
gpuCount = 0
} else {
if gpus[0].Library == "metal" {
memInfo, err := gpu.GetCPUMem()
@@ -100,7 +107,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
}
}
var layers int
layers, estimatedVRAM = EstimateGPULayers(gpus, ggml, projectors, opts)
layers, estimatedVRAM, estimatedTotal = EstimateGPULayers(gpus, ggml, projectors, opts)
if gpus[0].Library == "metal" && estimatedVRAM > systemMemory {
// disable partial offloading when model is greater than total system memory as this
@@ -133,6 +140,10 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
} else {
slog.Info("user override", "OLLAMA_LLM_LIBRARY", demandLib, "path", serverPath)
servers = []string{demandLib}
if strings.HasPrefix(demandLib, "cpu") {
// Omit the GPU flag to silence the warning
opts.NumGPU = -1
}
}
}
@@ -146,11 +157,8 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
"--batch-size", fmt.Sprintf("%d", opts.NumBatch),
"--embedding",
}
if envconfig.Debug {
params = append(params, "--log-format", "json")
} else {
params = append(params, "--log-disable")
}
params = append(params, "--log-disable")
if opts.NumGPU >= 0 {
params = append(params, "--n-gpu-layers", fmt.Sprintf("%d", opts.NumGPU))
@@ -210,10 +218,15 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
if dir == "" {
// Shouldn't happen
finalErr = fmt.Errorf("[%d] server %s not listed in available servers %v", i, servers[i], availableServers)
slog.Error("sever list inconsistent", "error", finalErr)
slog.Error("server list inconsistent", "error", finalErr)
continue
}
if strings.HasPrefix(servers[i], "cpu") {
// TODO if we tried a gpu runner first, and it failed, record the error and bubble that back up
gpuCount = 0
}
// Find an availableServers port, retry on each iterration in case the failure was a port conflict race
port := 0
if a, err := net.ResolveTCPAddr("tcp", "localhost:0"); err == nil {
@@ -267,46 +280,49 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
}
s := &llmServer{
port: port,
cmd: exec.Command(server, finalParams...),
status: NewStatusWriter(os.Stderr),
options: opts,
estimatedVRAM: estimatedVRAM,
sem: semaphore.NewWeighted(int64(numParallel)),
port: port,
cmd: exec.Command(server, finalParams...),
status: NewStatusWriter(os.Stderr),
options: opts,
estimatedVRAM: estimatedVRAM,
estimatedTotal: estimatedTotal,
sem: semaphore.NewWeighted(int64(numParallel)),
totalLayers: ggml.KV().BlockCount() + 1,
gpuCount: gpuCount,
done: make(chan error, 1),
}
s.cmd.Env = os.Environ()
s.cmd.Stdout = os.Stdout
s.cmd.Stderr = s.status
visibleDevicesEnv, visibleDevicesEnvVal := gpu.GpuInfoList(gpus).GetVisibleDevicesEnv()
pathEnvVal := strings.Join(libraryPaths, string(filepath.ListSeparator))
if v := strings.Join(libraryPaths, string(filepath.ListSeparator)); v != "" {
s.cmd.Env = append(s.cmd.Env, pathEnv+"="+v)
}
// Update or add the path and visible devices variable with our adjusted version
pathNeeded := true
devicesNeeded := visibleDevicesEnv != ""
for i := range s.cmd.Env {
cmp := strings.SplitN(s.cmd.Env[i], "=", 2)
if strings.EqualFold(cmp[0], pathEnv) {
s.cmd.Env[i] = pathEnv + "=" + pathEnvVal
pathNeeded = false
} else if devicesNeeded && strings.EqualFold(cmp[0], visibleDevicesEnv) {
s.cmd.Env[i] = visibleDevicesEnv + "=" + visibleDevicesEnvVal
devicesNeeded = false
if k, v := gpu.GpuInfoList(gpus).GetVisibleDevicesEnv(); k != "" {
s.cmd.Env = append(s.cmd.Env, k+"="+v)
}
for _, ev := range os.Environ() {
if strings.HasPrefix(ev, "CUDA_") ||
strings.HasPrefix(ev, "ROCM_") ||
strings.HasPrefix(ev, "HIP_") ||
strings.HasPrefix(ev, "HSA_") ||
strings.HasPrefix(ev, "GGML_") {
s.cmd.Env = append(s.cmd.Env, ev)
}
}
if pathNeeded {
s.cmd.Env = append(s.cmd.Env, pathEnv+"="+pathEnvVal)
}
if devicesNeeded {
s.cmd.Env = append(s.cmd.Env, visibleDevicesEnv+"="+visibleDevicesEnvVal)
}
slog.Info("starting llama server", "cmd", s.cmd.String())
// Log at debug as the environment is inherited and might contain sensitive information
slog.Debug("subprocess", "environment", s.cmd.Env)
if err = s.cmd.Start(); err != nil {
// Detect permission denied and augment them essage about noexec
if errors.Is(err, os.ErrPermission) {
finalErr = fmt.Errorf("unable to start server %w. %s may have noexec set. Set OLLAMA_TMPDIR for server to a writable executable directory", err, dir)
continue
}
msg := ""
if s.status != nil && s.status.LastErrMsg != "" {
msg = s.status.LastErrMsg
@@ -316,6 +332,11 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
continue
}
// reap subprocess when it exits
go func() {
s.done <- s.cmd.Wait()
}()
return s, nil
}
@@ -382,6 +403,10 @@ func (s *llmServer) getServerStatus(ctx context.Context) (ServerStatus, error) {
if s.status != nil && s.status.LastErrMsg != "" {
msg = s.status.LastErrMsg
}
if s.cmd.ProcessState.ExitCode() == -1 {
// Most likely a signal killed it, log some more details to try to help troubleshoot
slog.Warn("llama runner process no longer running", "sys", s.cmd.ProcessState.Sys(), "string", s.cmd.ProcessState.String())
}
return ServerStatusError, fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
}
@@ -456,13 +481,11 @@ func (s *llmServer) Ping(ctx context.Context) error {
func (s *llmServer) WaitUntilRunning(ctx context.Context) error {
start := time.Now()
// TODO we need to wire up a better way to detect hangs during model load and startup of the server
expiresAt := time.Now().Add(10 * time.Minute) // be generous with timeout, large models can take a while to load
ticker := time.NewTicker(50 * time.Millisecond)
defer ticker.Stop()
slog.Info("waiting for llama runner to start responding")
var lastStatus ServerStatus = -1
for {
select {
case <-ctx.Done():
@@ -474,41 +497,39 @@ func (s *llmServer) WaitUntilRunning(ctx context.Context) error {
msg = s.status.LastErrMsg
}
return fmt.Errorf("llama runner process has terminated: %v %s", err, msg)
case <-ticker.C:
if time.Now().After(expiresAt) {
// timeout
msg := ""
if s.status != nil && s.status.LastErrMsg != "" {
msg = s.status.LastErrMsg
}
return fmt.Errorf("timed out waiting for llama runner to start: %s", msg)
default:
}
if time.Now().After(expiresAt) {
// timeout
msg := ""
if s.status != nil && s.status.LastErrMsg != "" {
msg = s.status.LastErrMsg
}
if s.cmd.ProcessState != nil {
msg := ""
if s.status != nil && s.status.LastErrMsg != "" {
msg = s.status.LastErrMsg
}
return fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
}
c, cancel := context.WithTimeout(ctx, 200*time.Millisecond)
defer cancel()
status, err := s.getServerStatus(c)
if err != nil && lastStatus != status {
slog.Debug("server not yet available", "error", err)
lastStatus = status
continue
}
switch status {
case ServerStatusLoadingModel:
// TODO - this state never seems to happen with the current server.cpp code (bug?)
// it doesn't respond to the health endpoint until after the model is loaded
slog.Debug("loading model")
case ServerStatusReady:
slog.Debug(fmt.Sprintf("llama runner started in %f seconds", time.Since(start).Seconds()))
return nil
return fmt.Errorf("timed out waiting for llama runner to start: %s", msg)
}
if s.cmd.ProcessState != nil {
msg := ""
if s.status != nil && s.status.LastErrMsg != "" {
msg = s.status.LastErrMsg
}
return fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
}
ctx, cancel := context.WithTimeout(ctx, 200*time.Millisecond)
defer cancel()
status, _ := s.getServerStatus(ctx)
if lastStatus != status && status != ServerStatusReady {
// Only log on status changes
slog.Info("waiting for server to become available", "status", status.ToString())
}
switch status {
case ServerStatusReady:
s.loadDuration = time.Since(start)
slog.Info(fmt.Sprintf("llama runner started in %0.2f seconds", s.loadDuration.Seconds()))
return nil
default:
lastStatus = status
time.Sleep(time.Millisecond * 250)
continue
}
}
}
@@ -549,10 +570,11 @@ type ImageData struct {
}
type completion struct {
Content string `json:"content"`
Model string `json:"model"`
Prompt string `json:"prompt"`
Stop bool `json:"stop"`
Content string `json:"content"`
Model string `json:"model"`
Prompt string `json:"prompt"`
Stop bool `json:"stop"`
StoppedLimit bool `json:"stopped_limit"`
Timings struct {
PredictedN int `json:"predicted_n"`
@@ -571,6 +593,7 @@ type CompletionRequest struct {
type CompletionResponse struct {
Content string
DoneReason string
Done bool
PromptEvalCount int
PromptEvalDuration time.Duration
@@ -712,8 +735,14 @@ func (s *llmServer) Completion(ctx context.Context, req CompletionRequest, fn fu
}
if c.Stop {
doneReason := "stop"
if c.StoppedLimit {
doneReason = "length"
}
fn(CompletionResponse{
Done: true,
DoneReason: doneReason,
PromptEvalCount: c.Timings.PromptN,
PromptEvalDuration: parseDurationMs(c.Timings.PromptMS),
EvalCount: c.Timings.PredictedN,
@@ -908,8 +937,11 @@ func (s *llmServer) Close() error {
if err := s.cmd.Process.Kill(); err != nil {
return err
}
_ = s.cmd.Wait()
// if ProcessState is already populated, Wait already completed, no need to wait again
if s.cmd.ProcessState == nil {
slog.Debug("waiting for llama server to exit")
<-s.done
}
slog.Debug("llama server stopped")
}

View File

@@ -107,15 +107,9 @@ func toChatCompletion(id string, r api.ChatResponse) ChatCompletion {
Model: r.Model,
SystemFingerprint: "fp_ollama",
Choices: []Choice{{
Index: 0,
Message: Message{Role: r.Message.Role, Content: r.Message.Content},
FinishReason: func(done bool) *string {
if done {
reason := "stop"
return &reason
}
return nil
}(r.Done),
Index: 0,
Message: Message{Role: r.Message.Role, Content: r.Message.Content},
FinishReason: &r.DoneReason,
}},
Usage: Usage{
// TODO: ollama returns 0 for prompt eval if the prompt was cached, but openai returns the actual count
@@ -135,15 +129,9 @@ func toChunk(id string, r api.ChatResponse) ChatCompletionChunk {
SystemFingerprint: "fp_ollama",
Choices: []ChunkChoice{
{
Index: 0,
Delta: Message{Role: "assistant", Content: r.Message.Content},
FinishReason: func(done bool) *string {
if done {
reason := "stop"
return &reason
}
return nil
}(r.Done),
Index: 0,
Delta: Message{Role: "assistant", Content: r.Message.Content},
FinishReason: &r.DoneReason,
},
},
}

View File

@@ -218,7 +218,7 @@ func (i *Instance) Readline() (string, error) {
case CharCtrlZ:
fd := int(syscall.Stdin)
return handleCharCtrlZ(fd, i.Terminal.termios)
case CharEnter:
case CharEnter, CharCtrlJ:
output := buf.String()
if output != "" {
i.History.Add([]rune(output))
@@ -232,7 +232,7 @@ func (i *Instance) Readline() (string, error) {
metaDel = false
continue
}
if r >= CharSpace || r == CharEnter {
if r >= CharSpace || r == CharEnter || r == CharCtrlJ {
buf.Add(r)
}
}

View File

@@ -1,8 +1,8 @@
package server
import (
"archive/zip"
"bytes"
"cmp"
"context"
"crypto/sha256"
"encoding/base64"
@@ -11,7 +11,6 @@ import (
"errors"
"fmt"
"io"
"io/fs"
"log"
"log/slog"
"net/http"
@@ -26,7 +25,6 @@ import (
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/auth"
"github.com/ollama/ollama/convert"
"github.com/ollama/ollama/format"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/server/envconfig"
@@ -54,7 +52,6 @@ type Model struct {
System string
License []string
Digest string
Size int64
Options map[string]interface{}
Messages []Message
}
@@ -71,6 +68,20 @@ func (m *Model) String() string {
Args: m.ModelPath,
})
for _, adapter := range m.AdapterPaths {
modelfile.Commands = append(modelfile.Commands, model.Command{
Name: "adapter",
Args: adapter,
})
}
for _, projector := range m.ProjectorPaths {
modelfile.Commands = append(modelfile.Commands, model.Command{
Name: "model",
Args: projector,
})
}
if m.Template != "" {
modelfile.Commands = append(modelfile.Commands, model.Command{
Name: "template",
@@ -85,20 +96,6 @@ func (m *Model) String() string {
})
}
for _, adapter := range m.AdapterPaths {
modelfile.Commands = append(modelfile.Commands, model.Command{
Name: "adapter",
Args: adapter,
})
}
for _, projector := range m.ProjectorPaths {
modelfile.Commands = append(modelfile.Commands, model.Command{
Name: "projector",
Args: projector,
})
}
for k, v := range m.Options {
switch v := v.(type) {
case []any:
@@ -158,50 +155,11 @@ type ConfigV2 struct {
RootFS RootFS `json:"rootfs"`
}
func (c *ConfigV2) SetModelFormat(format string) {
if c.ModelFormat == "" {
c.ModelFormat = format
}
}
func (c *ConfigV2) SetModelFamily(families ...string) {
for _, family := range families {
if c.ModelFamily == "" {
c.ModelFamily = family
}
if !slices.Contains(c.ModelFamilies, family) {
c.ModelFamilies = append(c.ModelFamilies, family)
}
}
}
func (c *ConfigV2) SetModelType(modelType string) {
if c.ModelType == "" {
c.ModelType = modelType
}
}
func (c *ConfigV2) SetFileType(fileType string) {
if c.FileType == "" {
c.FileType = fileType
}
}
type RootFS struct {
Type string `json:"type"`
DiffIDs []string `json:"diff_ids"`
}
func (m *ManifestV2) GetTotalSize() (total int64) {
for _, layer := range m.Layers {
total += layer.Size
}
total += m.Config.Size
return total
}
func GetManifest(mp ModelPath) (*ManifestV2, string, error) {
fp, err := mp.GetManifestPath()
if err != nil {
@@ -242,7 +200,6 @@ func GetModel(name string) (*Model, error) {
Digest: digest,
Template: "{{ .Prompt }}",
License: []string{},
Size: manifest.GetTotalSize(),
}
filename, err := GetBlobsPath(manifest.Config.Digest)
@@ -332,7 +289,7 @@ func GetModel(name string) (*Model, error) {
return model, nil
}
func realpath(mfDir, from string) string {
func realpath(rel, from string) string {
abspath, err := filepath.Abs(from)
if err != nil {
return from
@@ -349,22 +306,15 @@ func realpath(mfDir, from string) string {
return filepath.Join(home, from[2:])
}
if _, err := os.Stat(filepath.Join(mfDir, from)); err == nil {
if _, err := os.Stat(filepath.Join(rel, from)); err == nil {
// this is a file relative to the Modelfile
return filepath.Join(mfDir, from)
return filepath.Join(rel, from)
}
return abspath
}
func CreateModel(ctx context.Context, name, modelFileDir, quantization string, modelfile *model.File, fn func(resp api.ProgressResponse)) error {
deleteMap := make(map[string]struct{})
if manifest, _, err := GetManifest(ParseModelPath(name)); err == nil {
for _, layer := range append(manifest.Layers, manifest.Config) {
deleteMap[layer.Digest] = struct{}{}
}
}
func CreateModel(ctx context.Context, name, modelFileDir, quantization string, modelfile *model.File, fn func(resp api.ProgressResponse)) (err error) {
config := ConfigV2{
OS: "linux",
Architecture: "amd64",
@@ -373,250 +323,181 @@ func CreateModel(ctx context.Context, name, modelFileDir, quantization string, m
},
}
var layers Layers
messages := []string{}
params := make(map[string][]string)
fromParams := make(map[string]any)
var messages []*api.Message
parameters := make(map[string]any)
var layers []*Layer
for _, c := range modelfile.Commands {
mediatype := fmt.Sprintf("application/vnd.ollama.image.%s", c.Name)
switch c.Name {
case "model":
if strings.HasPrefix(c.Args, "@") {
blobPath, err := GetBlobsPath(strings.TrimPrefix(c.Args, "@"))
case "model", "adapter":
var baseLayers []*layerWithGGML
if name := model.ParseName(c.Args); name.IsValid() {
baseLayers, err = parseFromModel(ctx, name, fn)
if err != nil {
return err
}
} else if strings.HasPrefix(c.Args, "@") {
blobpath, err := GetBlobsPath(strings.TrimPrefix(c.Args, "@"))
if err != nil {
return err
}
c.Args = blobPath
}
pathName := realpath(modelFileDir, c.Args)
ggufName, err := convertModel(name, pathName, fn)
if err != nil {
var pathErr *fs.PathError
switch {
case errors.Is(err, zip.ErrFormat):
// it's not a safetensor archive
case errors.As(err, &pathErr):
// it's not a file on disk, could be a model reference
default:
blob, err := os.Open(blobpath)
if err != nil {
return err
}
defer blob.Close()
baseLayers, err = parseFromFile(ctx, blob, fn)
if err != nil {
return err
}
} else if file, err := os.Open(realpath(modelFileDir, c.Args)); err == nil {
defer file.Close()
baseLayers, err = parseFromFile(ctx, file, fn)
if err != nil {
return err
}
} else {
return fmt.Errorf("invalid model reference: %s", c.Args)
}
if ggufName != "" {
pathName = ggufName
defer os.RemoveAll(ggufName)
if quantization != "" {
quantization = strings.ToUpper(quantization)
fn(api.ProgressResponse{Status: fmt.Sprintf("quantizing %s model to %s", "F16", quantization)})
tempfile, err := os.CreateTemp(filepath.Dir(ggufName), quantization)
for _, baseLayer := range baseLayers {
if quantization != "" &&
baseLayer.MediaType == "application/vnd.ollama.image.model" &&
baseLayer.GGML != nil &&
baseLayer.GGML.Name() == "gguf" {
want, err := llm.ParseFileType(quantization)
if err != nil {
return err
}
defer os.RemoveAll(tempfile.Name())
if err := llm.Quantize(ggufName, tempfile.Name(), quantization); err != nil {
return err
}
ft := baseLayer.GGML.KV().FileType()
if !slices.Contains([]string{"F16", "F32"}, ft.String()) {
return errors.New("quantization is only supported for F16 and F32 models")
} else if want != ft {
fn(api.ProgressResponse{Status: fmt.Sprintf("quantizing %s model to %s", ft, quantization)})
if err := tempfile.Close(); err != nil {
return err
}
pathName = tempfile.Name()
}
}
bin, err := os.Open(pathName)
if err != nil {
// not a file on disk so must be a model reference
modelpath := ParseModelPath(c.Args)
manifest, _, err := GetManifest(modelpath)
switch {
case errors.Is(err, os.ErrNotExist):
fn(api.ProgressResponse{Status: "pulling model"})
if err := PullModel(ctx, c.Args, &registryOptions{}, fn); err != nil {
return err
}
manifest, _, err = GetManifest(modelpath)
if err != nil {
return err
}
case err != nil:
return err
}
fn(api.ProgressResponse{Status: "reading model metadata"})
fromConfigPath, err := GetBlobsPath(manifest.Config.Digest)
if err != nil {
return err
}
fromConfigFile, err := os.Open(fromConfigPath)
if err != nil {
return err
}
defer fromConfigFile.Close()
var fromConfig ConfigV2
if err := json.NewDecoder(fromConfigFile).Decode(&fromConfig); err != nil {
return err
}
// if the model is still not in gguf format, error out
if fromConfig.ModelFormat != "gguf" {
return fmt.Errorf("%s is not in gguf format, this base model is not compatible with this version of ollama", c.Args)
}
config.SetModelFormat(fromConfig.ModelFormat)
config.SetModelFamily(append(fromConfig.ModelFamilies, fromConfig.ModelFamily)...)
config.SetModelType(fromConfig.ModelType)
config.SetFileType(fromConfig.FileType)
for _, layer := range manifest.Layers {
deleteMap[layer.Digest] = struct{}{}
if layer.MediaType == "application/vnd.ollama.image.params" {
fromParamsPath, err := GetBlobsPath(layer.Digest)
blob, err := GetBlobsPath(baseLayer.Digest)
if err != nil {
return err
}
fromParamsFile, err := os.Open(fromParamsPath)
temp, err := os.CreateTemp(filepath.Dir(blob), quantization)
if err != nil {
return err
}
defer fromParamsFile.Close()
defer temp.Close()
defer os.Remove(temp.Name())
if err := json.NewDecoder(fromParamsFile).Decode(&fromParams); err != nil {
if err := llm.Quantize(blob, temp.Name(), want); err != nil {
return err
}
baseLayer.Layer, err = NewLayer(temp, baseLayer.Layer.MediaType)
if err != nil {
return err
}
}
layer, err := NewLayerFromLayer(layer.Digest, layer.MediaType, modelpath.GetShortTagname())
if err != nil {
return err
}
layers.Add(layer)
}
deleteMap[manifest.Config.Digest] = struct{}{}
continue
if baseLayer.GGML != nil {
config.ModelFormat = cmp.Or(config.ModelFormat, baseLayer.GGML.Name())
config.ModelFamily = cmp.Or(config.ModelFamily, baseLayer.GGML.KV().Architecture())
config.ModelType = cmp.Or(config.ModelType, format.HumanNumber(baseLayer.GGML.KV().ParameterCount()))
config.FileType = cmp.Or(config.FileType, baseLayer.GGML.KV().FileType().String())
config.ModelFamilies = append(config.ModelFamilies, baseLayer.GGML.KV().Architecture())
}
layers = append(layers, baseLayer.Layer)
}
defer bin.Close()
var offset int64
for {
fn(api.ProgressResponse{Status: "creating model layer"})
if _, err := bin.Seek(offset, io.SeekStart); err != nil {
return err
}
ggml, size, err := llm.DecodeGGML(bin)
if errors.Is(err, io.EOF) {
break
} else if errors.Is(err, llm.ErrUnsupportedFormat) {
return fmt.Errorf("model binary specified in FROM field is not a valid gguf format model, %w", err)
} else if err != nil {
return err
}
config.SetModelFormat(ggml.Name())
config.SetModelFamily(ggml.KV().Architecture())
config.SetModelType(format.HumanNumber(ggml.KV().ParameterCount()))
config.SetFileType(ggml.KV().FileType())
mediatype := mediatype
if ggml.KV().Architecture() == "clip" {
mediatype = "application/vnd.ollama.image.projector"
}
sr := io.NewSectionReader(bin, offset, size)
layer, err := NewLayer(sr, mediatype)
if err != nil {
return err
}
layers.Add(layer)
offset += size
}
case "adapter":
if strings.HasPrefix(c.Args, "@") {
blobPath, err := GetBlobsPath(strings.TrimPrefix(c.Args, "@"))
if err != nil {
return err
}
c.Args = blobPath
}
fn(api.ProgressResponse{Status: "creating adapter layer"})
bin, err := os.Open(realpath(modelFileDir, c.Args))
if err != nil {
return err
}
defer bin.Close()
_, size, err := llm.DecodeGGML(bin)
case "license", "template", "system":
blob := strings.NewReader(c.Args)
layer, err := NewLayer(blob, mediatype)
if err != nil {
return err
}
sr := io.NewSectionReader(bin, 0, size)
layer, err := NewLayer(sr, mediatype)
if err != nil {
return err
if c.Name != "license" {
// replace
layers = slices.DeleteFunc(layers, func(layer *Layer) bool {
return layer.MediaType == mediatype
})
}
layers.Add(layer)
case "license":
fn(api.ProgressResponse{Status: "creating license layer"})
bin := strings.NewReader(c.Args)
layer, err := NewLayer(bin, mediatype)
if err != nil {
return err
}
layers.Add(layer)
case "template", "system":
fn(api.ProgressResponse{Status: fmt.Sprintf("creating %s layer", c.Name)})
bin := strings.NewReader(c.Args)
layer, err := NewLayer(bin, mediatype)
if err != nil {
return err
}
layers.Replace(layer)
layers = append(layers, layer)
case "message":
messages = append(messages, c.Args)
role, content, ok := strings.Cut(c.Args, ": ")
if !ok {
return fmt.Errorf("invalid message: %s", c.Args)
}
messages = append(messages, &api.Message{Role: role, Content: content})
default:
params[c.Name] = append(params[c.Name], c.Args)
ps, err := api.FormatParams(map[string][]string{c.Name: {c.Args}})
if err != nil {
return err
}
for k, v := range ps {
if ks, ok := parameters[k].([]string); ok {
parameters[k] = append(ks, v.([]string)...)
} else if vs, ok := v.([]string); ok {
parameters[k] = vs
} else {
parameters[k] = v
}
}
}
}
if len(messages) > 0 {
fn(api.ProgressResponse{Status: "creating parameters layer"})
var err2 error
layers = slices.DeleteFunc(layers, func(layer *Layer) bool {
switch layer.MediaType {
case "application/vnd.ollama.image.message":
// if there are new messages, remove the inherited ones
if len(messages) > 0 {
return true
}
msgs := make([]api.Message, 0)
return false
case "application/vnd.ollama.image.params":
// merge inherited parameters with new ones
r, err := layer.Open()
if err != nil {
err2 = err
return false
}
defer r.Close()
for _, m := range messages {
// todo: handle images
msg := strings.SplitN(m, ": ", 2)
msgs = append(msgs, api.Message{Role: msg[0], Content: msg[1]})
var ps map[string]any
if err := json.NewDecoder(r).Decode(&ps); err != nil {
err2 = err
return false
}
for k, v := range ps {
if _, ok := parameters[k]; !ok {
parameters[k] = v
}
}
return true
default:
return false
}
})
if err2 != nil {
return err2
}
if len(messages) > 0 {
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(msgs); err != nil {
if err := json.NewEncoder(&b).Encode(messages); err != nil {
return err
}
@@ -625,39 +506,25 @@ func CreateModel(ctx context.Context, name, modelFileDir, quantization string, m
return err
}
layers.Replace(layer)
layers = append(layers, layer)
}
if len(params) > 0 {
fn(api.ProgressResponse{Status: "creating parameters layer"})
formattedParams, err := api.FormatParams(params)
if err != nil {
return err
}
for k, v := range fromParams {
if _, ok := formattedParams[k]; !ok {
formattedParams[k] = v
}
}
if len(parameters) > 0 {
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(formattedParams); err != nil {
if err := json.NewEncoder(&b).Encode(parameters); err != nil {
return err
}
fn(api.ProgressResponse{Status: "creating config layer"})
layer, err := NewLayer(&b, "application/vnd.ollama.image.params")
if err != nil {
return err
}
layers.Replace(layer)
layers = append(layers, layer)
}
digests := make([]string, len(layers.items))
for i, layer := range layers.items {
digests := make([]string, len(layers))
for i, layer := range layers {
digests[i] = layer.Digest
}
@@ -668,36 +535,37 @@ func CreateModel(ctx context.Context, name, modelFileDir, quantization string, m
return err
}
configLayer, err := NewLayer(&b, "application/vnd.docker.container.image.v1+json")
layer, err := NewLayer(&b, "application/vnd.docker.container.image.v1+json")
if err != nil {
return err
}
delete(deleteMap, configLayer.Digest)
for _, layer := range append(layers, layer) {
if layer.status != "" {
fn(api.ProgressResponse{Status: layer.status})
}
}
for _, layer := range append(layers.items, configLayer) {
committed, err := layer.Commit()
if err != nil {
return err
unref := make(map[string]struct{})
if manifest, _, err := GetManifest(ParseModelPath(name)); err == nil {
for _, layer := range manifest.Layers {
if !slices.Contains(digests, layer.Digest) {
unref[layer.Digest] = struct{}{}
}
}
status := "writing layer"
if !committed {
status = "using already created layer"
if manifest.Config.Digest != layer.Digest {
unref[manifest.Config.Digest] = struct{}{}
}
fn(api.ProgressResponse{Status: fmt.Sprintf("%s %s", status, layer.Digest)})
delete(deleteMap, layer.Digest)
}
fn(api.ProgressResponse{Status: "writing manifest"})
if err := WriteManifest(name, configLayer, layers.items); err != nil {
if err := WriteManifest(name, layer, layers); err != nil {
return err
}
if !envconfig.NoPrune {
if err := deleteUnusedLayers(nil, deleteMap, false); err != nil {
if err := deleteUnusedLayers(nil, unref); err != nil {
return err
}
}
@@ -706,74 +574,6 @@ func CreateModel(ctx context.Context, name, modelFileDir, quantization string, m
return nil
}
func convertModel(name, path string, fn func(resp api.ProgressResponse)) (string, error) {
r, err := zip.OpenReader(path)
if err != nil {
return "", err
}
defer r.Close()
tempDir, err := os.MkdirTemp("", "ollama-convert")
if err != nil {
return "", err
}
defer os.RemoveAll(tempDir)
fn(api.ProgressResponse{Status: "unpacking model metadata"})
for _, f := range r.File {
fpath := filepath.Join(tempDir, f.Name)
outFile, err := os.OpenFile(fpath, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, f.Mode())
if err != nil {
return "", err
}
rc, err := f.Open()
if err != nil {
return "", err
}
_, err = io.Copy(outFile, rc)
if err != nil {
return "", err
}
outFile.Close()
rc.Close()
}
mf, err := convert.GetModelFormat(tempDir)
if err != nil {
return "", err
}
params, err := mf.GetParams(tempDir)
if err != nil {
return "", err
}
mArch, err := mf.GetModelArch(name, tempDir, params)
if err != nil {
return "", err
}
fn(api.ProgressResponse{Status: "processing tensors"})
if err := mArch.GetTensors(); err != nil {
return "", err
}
if err := mArch.LoadVocab(); err != nil {
return "", err
}
fn(api.ProgressResponse{Status: "converting model"})
path, err = mArch.WriteGGUF()
if err != nil {
return "", err
}
return path, nil
}
func CopyModel(src, dst model.Name) error {
if !dst.IsFullyQualified() {
return model.Unqualified(dst)
@@ -813,7 +613,7 @@ func CopyModel(src, dst model.Name) error {
return err
}
func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{}, dryRun bool) error {
func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{}) error {
fp, err := GetManifestPath()
if err != nil {
return err
@@ -860,13 +660,9 @@ func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{},
slog.Info(fmt.Sprintf("couldn't get file path for '%s': %v", k, err))
continue
}
if !dryRun {
if err := os.Remove(fp); err != nil {
slog.Info(fmt.Sprintf("couldn't remove file '%s': %v", fp, err))
continue
}
} else {
slog.Info(fmt.Sprintf("wanted to remove: %s", fp))
if err := os.Remove(fp); err != nil {
slog.Info(fmt.Sprintf("couldn't remove file '%s': %v", fp, err))
continue
}
}
@@ -889,14 +685,25 @@ func PruneLayers() error {
for _, blob := range blobs {
name := blob.Name()
name = strings.ReplaceAll(name, "-", ":")
if strings.HasPrefix(name, "sha256:") {
deleteMap[name] = struct{}{}
_, err := GetBlobsPath(name)
if err != nil {
if errors.Is(err, ErrInvalidDigestFormat) {
// remove invalid blobs (e.g. partial downloads)
if err := os.Remove(filepath.Join(p, blob.Name())); err != nil {
slog.Error("couldn't remove blob", "blob", blob.Name(), "error", err)
}
}
continue
}
deleteMap[name] = struct{}{}
}
slog.Info(fmt.Sprintf("total blobs: %d", len(deleteMap)))
err = deleteUnusedLayers(nil, deleteMap, false)
err = deleteUnusedLayers(nil, deleteMap)
if err != nil {
return err
}
@@ -952,7 +759,7 @@ func DeleteModel(name string) error {
}
deleteMap[manifest.Config.Digest] = struct{}{}
err = deleteUnusedLayers(&mp, deleteMap, false)
err = deleteUnusedLayers(&mp, deleteMap)
if err != nil {
return err
}
@@ -1112,7 +919,7 @@ func PullModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
if noprune == "" {
fn(api.ProgressResponse{Status: "removing any unused layers"})
err = deleteUnusedLayers(nil, deleteMap, false)
err = deleteUnusedLayers(nil, deleteMap)
if err != nil {
return err
}

View File

@@ -5,39 +5,14 @@ import (
"fmt"
"io"
"os"
"strings"
"golang.org/x/exp/slices"
)
type Layers struct {
items []*Layer
}
func (ls *Layers) Add(layer *Layer) {
if layer.Size > 0 {
ls.items = append(ls.items, layer)
}
}
func (ls *Layers) Replace(layer *Layer) {
if layer.Size > 0 {
mediatype := layer.MediaType
layers := slices.DeleteFunc(ls.items, func(l *Layer) bool {
return l.MediaType == mediatype
})
ls.items = append(layers, layer)
}
}
type Layer struct {
MediaType string `json:"mediaType"`
Digest string `json:"digest"`
Size int64 `json:"size"`
From string `json:"from,omitempty"`
tempFileName string
status string
}
func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
@@ -46,14 +21,12 @@ func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
return nil, err
}
const delimiter = "-"
pattern := strings.Join([]string{"sha256", "*-partial"}, delimiter)
temp, err := os.CreateTemp(blobs, pattern)
temp, err := os.CreateTemp(blobs, "sha256-")
if err != nil {
return nil, err
}
defer temp.Close()
defer os.Remove(temp.Name())
sha256sum := sha256.New()
n, err := io.Copy(io.MultiWriter(temp, sha256sum), r)
@@ -61,11 +34,29 @@ func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
return nil, err
}
if err := temp.Close(); err != nil {
return nil, err
}
digest := fmt.Sprintf("sha256:%x", sha256sum.Sum(nil))
blob, err := GetBlobsPath(digest)
if err != nil {
return nil, err
}
status := "using existing layer"
if _, err := os.Stat(blob); err != nil {
status = "creating new layer"
if err := os.Rename(temp.Name(), blob); err != nil {
return nil, err
}
}
return &Layer{
MediaType: mediatype,
Digest: fmt.Sprintf("sha256:%x", sha256sum.Sum(nil)),
Size: n,
tempFileName: temp.Name(),
MediaType: mediatype,
Digest: digest,
Size: n,
status: fmt.Sprintf("%s %s", status, digest),
}, nil
}
@@ -85,21 +76,15 @@ func NewLayerFromLayer(digest, mediatype, from string) (*Layer, error) {
Digest: digest,
Size: fi.Size(),
From: from,
status: fmt.Sprintf("using existing layer %s", digest),
}, nil
}
func (l *Layer) Commit() (bool, error) {
// always remove temp
defer os.Remove(l.tempFileName)
func (l *Layer) Open() (io.ReadCloser, error) {
blob, err := GetBlobsPath(l.Digest)
if err != nil {
return false, err
return nil, err
}
if _, err := os.Stat(blob); err != nil {
return true, os.Rename(l.tempFileName, blob)
}
return false, nil
return os.Open(blob)
}

79
server/manifest.go Normal file
View File

@@ -0,0 +1,79 @@
package server
import (
"bytes"
"crypto/sha256"
"encoding/json"
"fmt"
"io"
"os"
"path/filepath"
"github.com/ollama/ollama/types/model"
)
type Manifest struct {
ManifestV2
Digest string `json:"-"`
}
func (m *Manifest) Size() (size int64) {
for _, layer := range append(m.Layers, m.Config) {
size += layer.Size
}
return
}
func ParseNamedManifest(name model.Name) (*Manifest, error) {
if !name.IsFullyQualified() {
return nil, model.Unqualified(name)
}
manifests, err := GetManifestPath()
if err != nil {
return nil, err
}
var manifest ManifestV2
manifestfile, err := os.Open(filepath.Join(manifests, name.Filepath()))
if err != nil {
return nil, err
}
sha256sum := sha256.New()
if err := json.NewDecoder(io.TeeReader(manifestfile, sha256sum)).Decode(&manifest); err != nil {
return nil, err
}
return &Manifest{
ManifestV2: manifest,
Digest: fmt.Sprintf("%x", sha256sum.Sum(nil)),
}, nil
}
func WriteManifest(name string, config *Layer, layers []*Layer) error {
manifest := ManifestV2{
SchemaVersion: 2,
MediaType: "application/vnd.docker.distribution.manifest.v2+json",
Config: config,
Layers: layers,
}
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(manifest); err != nil {
return err
}
modelpath := ParseModelPath(name)
manifestPath, err := modelpath.GetManifestPath()
if err != nil {
return err
}
if err := os.MkdirAll(filepath.Dir(manifestPath), 0o755); err != nil {
return err
}
return os.WriteFile(manifestPath, b.Bytes(), 0o644)
}

View File

@@ -1,34 +0,0 @@
package server
import (
"bytes"
"encoding/json"
"os"
"path/filepath"
)
func WriteManifest(name string, config *Layer, layers []*Layer) error {
manifest := ManifestV2{
SchemaVersion: 2,
MediaType: "application/vnd.docker.distribution.manifest.v2+json",
Config: config,
Layers: layers,
}
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(manifest); err != nil {
return err
}
modelpath := ParseModelPath(name)
manifestPath, err := modelpath.GetManifestPath()
if err != nil {
return err
}
if err := os.MkdirAll(filepath.Dir(manifestPath), 0o755); err != nil {
return err
}
return os.WriteFile(manifestPath, b.Bytes(), 0o644)
}

261
server/model.go Normal file
View File

@@ -0,0 +1,261 @@
package server
import (
"archive/zip"
"bytes"
"context"
"errors"
"fmt"
"io"
"net/http"
"os"
"path/filepath"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/convert"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/types/model"
)
type layerWithGGML struct {
*Layer
*llm.GGML
}
func parseFromModel(ctx context.Context, name model.Name, fn func(api.ProgressResponse)) (layers []*layerWithGGML, err error) {
modelpath := ParseModelPath(name.String())
manifest, _, err := GetManifest(modelpath)
switch {
case errors.Is(err, os.ErrNotExist):
if err := PullModel(ctx, name.String(), &registryOptions{}, fn); err != nil {
return nil, err
}
modelpath = ParseModelPath(name.String())
manifest, _, err = GetManifest(modelpath)
if err != nil {
return nil, err
}
case err != nil:
return nil, err
}
for _, layer := range manifest.Layers {
layer, err := NewLayerFromLayer(layer.Digest, layer.MediaType, modelpath.GetShortTagname())
if err != nil {
return nil, err
}
switch layer.MediaType {
case "application/vnd.ollama.image.model",
"application/vnd.ollama.image.projector",
"application/vnd.ollama.image.adapter":
blobpath, err := GetBlobsPath(layer.Digest)
if err != nil {
return nil, err
}
blob, err := os.Open(blobpath)
if err != nil {
return nil, err
}
defer blob.Close()
ggml, _, err := llm.DecodeGGML(blob)
if err != nil {
return nil, err
}
layers = append(layers, &layerWithGGML{layer, ggml})
default:
layers = append(layers, &layerWithGGML{layer, nil})
}
}
return layers, nil
}
func parseFromZipFile(_ context.Context, file *os.File, fn func(api.ProgressResponse)) (layers []*layerWithGGML, err error) {
stat, err := file.Stat()
if err != nil {
return nil, err
}
r, err := zip.NewReader(file, stat.Size())
if err != nil {
return nil, err
}
tempdir, err := os.MkdirTemp(filepath.Dir(file.Name()), "")
if err != nil {
return nil, err
}
defer os.RemoveAll(tempdir)
fn(api.ProgressResponse{Status: "unpacking model metadata"})
for _, f := range r.File {
// TODO(mxyng): this should not write out all files to disk
outfile, err := os.Create(filepath.Join(tempdir, f.Name))
if err != nil {
return nil, err
}
defer outfile.Close()
infile, err := f.Open()
if err != nil {
return nil, err
}
defer infile.Close()
if _, err = io.Copy(outfile, infile); err != nil {
return nil, err
}
if err := outfile.Close(); err != nil {
return nil, err
}
if err := infile.Close(); err != nil {
return nil, err
}
}
mf, err := convert.GetModelFormat(tempdir)
if err != nil {
return nil, err
}
params, err := mf.GetParams(tempdir)
if err != nil {
return nil, err
}
mArch, err := mf.GetModelArch("", tempdir, params)
if err != nil {
return nil, err
}
fn(api.ProgressResponse{Status: "processing tensors"})
if err := mArch.GetTensors(); err != nil {
return nil, err
}
if err := mArch.LoadVocab(); err != nil {
return nil, err
}
fn(api.ProgressResponse{Status: "converting model"})
// TODO(mxyng): this should write directly into a layer
// e.g. NewLayer(arch.Reader(), "application/vnd.ollama.image.model")
temp, err := os.CreateTemp(tempdir, "fp16")
if err != nil {
return nil, err
}
defer temp.Close()
defer os.Remove(temp.Name())
if err = mArch.WriteGGUF(temp); err != nil {
return nil, err
}
if _, err := temp.Seek(0, io.SeekStart); err != nil {
return nil, err
}
layer, err := NewLayer(temp, "application/vnd.ollama.image.model")
if err != nil {
return nil, fmt.Errorf("aaa: %w", err)
}
blobpath, err := GetBlobsPath(layer.Digest)
if err != nil {
return nil, err
}
bin, err := os.Open(blobpath)
if err != nil {
return nil, err
}
defer bin.Close()
ggml, _, err := llm.DecodeGGML(bin)
if err != nil {
return nil, err
}
layer, err = NewLayerFromLayer(layer.Digest, layer.MediaType, "")
if err != nil {
return nil, err
}
layers = append(layers, &layerWithGGML{layer, ggml})
return layers, nil
}
func parseFromFile(ctx context.Context, file *os.File, fn func(api.ProgressResponse)) (layers []*layerWithGGML, err error) {
sr := io.NewSectionReader(file, 0, 512)
contentType, err := detectContentType(sr)
if err != nil {
return nil, err
}
switch contentType {
case "gguf", "ggla":
// noop
case "application/zip":
return parseFromZipFile(ctx, file, fn)
default:
return nil, fmt.Errorf("unsupported content type: %s", contentType)
}
stat, err := file.Stat()
if err != nil {
return nil, err
}
var offset int64
for offset < stat.Size() {
ggml, n, err := llm.DecodeGGML(file)
if errors.Is(err, io.EOF) {
break
} else if err != nil {
return nil, err
}
mediatype := "application/vnd.ollama.image.model"
if ggml.Name() == "ggla" {
mediatype = "application/vnd.ollama.image.adapter"
} else if ggml.KV().Architecture() == "clip" {
mediatype = "application/vnd.ollama.image.projector"
}
layer, err := NewLayer(io.NewSectionReader(file, offset, n), mediatype)
if err != nil {
return nil, err
}
layers = append(layers, &layerWithGGML{layer, ggml})
offset = n
}
return layers, nil
}
func detectContentType(r io.Reader) (string, error) {
var b bytes.Buffer
if _, err := io.Copy(&b, r); err != nil {
return "", err
}
if contentType := llm.DetectGGMLType(b.Bytes()); contentType != "" {
return contentType, nil
}
if contentType := http.DetectContentType(b.Bytes()); contentType != "application/octet-stream" {
return contentType, nil
}
return "unknown", nil
}

View File

@@ -154,9 +154,6 @@ func GetBlobsPath(digest string) (string, error) {
// only accept actual sha256 digests
pattern := "^sha256[:-][0-9a-fA-F]{64}$"
re := regexp.MustCompile(pattern)
if err != nil {
return "", err
}
if digest != "" && !re.MatchString(digest) {
return "", ErrInvalidDigestFormat

View File

@@ -127,10 +127,6 @@ func (s *Server) GenerateHandler(c *gin.Context) {
opts, err := modelOptions(model, req.Options)
if err != nil {
if errors.Is(err, api.ErrInvalidOpts) {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -156,9 +152,10 @@ func (s *Server) GenerateHandler(c *gin.Context) {
// of `raw` mode so we need to check for it too
if req.Prompt == "" && req.Template == "" && req.System == "" {
c.JSON(http.StatusOK, api.GenerateResponse{
CreatedAt: time.Now().UTC(),
Model: req.Model,
Done: true,
CreatedAt: time.Now().UTC(),
Model: req.Model,
Done: true,
DoneReason: "load",
})
return
}
@@ -226,10 +223,11 @@ func (s *Server) GenerateHandler(c *gin.Context) {
}
resp := api.GenerateResponse{
Model: req.Model,
CreatedAt: time.Now().UTC(),
Done: r.Done,
Response: r.Content,
Model: req.Model,
CreatedAt: time.Now().UTC(),
Done: r.Done,
Response: r.Content,
DoneReason: r.DoneReason,
Metrics: api.Metrics{
PromptEvalCount: r.PromptEvalCount,
PromptEvalDuration: r.PromptEvalDuration,
@@ -370,10 +368,6 @@ func (s *Server) EmbeddingsHandler(c *gin.Context) {
opts, err := modelOptions(model, req.Options)
if err != nil {
if errors.Is(err, api.ErrInvalidOpts) {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -413,6 +407,85 @@ func (s *Server) EmbeddingsHandler(c *gin.Context) {
c.JSON(http.StatusOK, resp)
}
func (s *Server) TokenizeHandler(c *gin.Context) {
var req api.TokenizeRequest
err := c.ShouldBindJSON(&req)
switch {
case errors.Is(err, io.EOF):
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
case err != nil:
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
if req.Model == "" {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
model, err := GetModel(req.Model)
if err != nil {
var pErr *fs.PathError
if errors.As(err, &pErr) {
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found, try pulling it first", req.Model)})
return
}
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
opts, err := modelOptions(model, req.Options)
if err != nil {
// TODO: handle specific errors
// if errors.Is(err, api.ErrInvalidOpts) {
// c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
// return
// }
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
var sessionDuration time.Duration
if req.KeepAlive == nil {
sessionDuration = getDefaultSessionDuration()
} else {
sessionDuration = req.KeepAlive.Duration
}
rCh, eCh := s.sched.GetRunner(c.Request.Context(), model, opts, sessionDuration)
var runner *runnerRef
select {
case runner = <-rCh:
case err = <-eCh:
if errors.Is(err, context.Canceled) {
c.JSON(499, gin.H{"error": "request canceled"})
return
}
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
// an empty request loads the model
if req.Prompt == "" {
c.JSON(http.StatusOK, api.TokenizeResponse{Tokens: []int{}})
return
}
tokens, err := runner.llama.Tokenize(c.Request.Context(), req.Prompt)
if err != nil {
slog.Info(fmt.Sprintf("embedding generation failed: %v", err))
c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to generate embedding"})
return
}
resp := api.TokenizeResponse{
Tokens: tokens,
}
c.JSON(http.StatusOK, resp)
}
func (s *Server) PullModelHandler(c *gin.Context) {
var req api.PullRequest
err := c.ShouldBindJSON(&req)
@@ -560,7 +633,7 @@ func (s *Server) CreateModelHandler(c *gin.Context) {
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
if err := CreateModel(ctx, name.String(), filepath.Dir(req.Path), req.Quantization, modelfile, fn); err != nil {
if err := CreateModel(ctx, name.String(), filepath.Dir(req.Path), strings.ToUpper(req.Quantization), modelfile, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
@@ -719,62 +792,79 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
}
func (s *Server) ListModelsHandler(c *gin.Context) {
models := make([]api.ModelResponse, 0)
manifestsPath, err := GetManifestPath()
manifests, err := GetManifestPath()
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
modelResponse := func(modelName string) (api.ModelResponse, error) {
model, err := GetModel(modelName)
if err != nil {
return api.ModelResponse{}, err
}
modelDetails := api.ModelDetails{
Format: model.Config.ModelFormat,
Family: model.Config.ModelFamily,
Families: model.Config.ModelFamilies,
ParameterSize: model.Config.ModelType,
QuantizationLevel: model.Config.FileType,
}
return api.ModelResponse{
Model: model.ShortName,
Name: model.ShortName,
Size: model.Size,
Digest: model.Digest,
Details: modelDetails,
}, nil
}
walkFunc := func(path string, info os.FileInfo, _ error) error {
var models []api.ModelResponse
if err := filepath.Walk(manifests, func(path string, info os.FileInfo, _ error) error {
if !info.IsDir() {
path, tag := filepath.Split(path)
model := strings.Trim(strings.TrimPrefix(path, manifestsPath), string(os.PathSeparator))
modelPath := strings.Join([]string{model, tag}, ":")
canonicalModelPath := strings.ReplaceAll(modelPath, string(os.PathSeparator), "/")
resp, err := modelResponse(canonicalModelPath)
rel, err := filepath.Rel(manifests, path)
if err != nil {
slog.Info(fmt.Sprintf("skipping file: %s", canonicalModelPath))
// nolint: nilerr
return err
}
if hidden, err := filepath.Match(".*", filepath.Base(rel)); err != nil {
return err
} else if hidden {
return nil
}
resp.ModifiedAt = info.ModTime()
models = append(models, resp)
n := model.ParseNameFromFilepath(rel)
if !n.IsValid() {
slog.Warn("bad manifest filepath", "path", rel)
return nil
}
m, err := ParseNamedManifest(n)
if err != nil {
slog.Warn("bad manifest", "name", n, "error", err)
return nil
}
f, err := m.Config.Open()
if err != nil {
slog.Warn("bad manifest config filepath", "name", n, "error", err)
return nil
}
defer f.Close()
var c ConfigV2
if err := json.NewDecoder(f).Decode(&c); err != nil {
slog.Warn("bad manifest config", "name", n, "error", err)
return nil
}
// tag should never be masked
models = append(models, api.ModelResponse{
Model: n.DisplayShortest(),
Name: n.DisplayShortest(),
Size: m.Size(),
Digest: m.Digest,
ModifiedAt: info.ModTime(),
Details: api.ModelDetails{
Format: c.ModelFormat,
Family: c.ModelFamily,
Families: c.ModelFamilies,
ParameterSize: c.ModelType,
QuantizationLevel: c.FileType,
},
})
}
return nil
}
if err := filepath.Walk(manifestsPath, walkFunc); err != nil {
}); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
slices.SortStableFunc(models, func(i, j api.ModelResponse) int {
// most recently modified first
return cmp.Compare(j.ModifiedAt.Unix(), i.ModifiedAt.Unix())
})
c.JSON(http.StatusOK, api.ListResponse{Models: models})
}
@@ -796,7 +886,7 @@ func (s *Server) CopyModelHandler(c *gin.Context) {
dst := model.ParseName(r.Destination)
if !dst.IsValid() {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("destination %q is invalid", r.Source)})
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("destination %q is invalid", r.Destination)})
return
}
@@ -852,11 +942,6 @@ func (s *Server) CreateBlobHandler(c *gin.Context) {
return
}
if _, err := layer.Commit(); err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
c.Status(http.StatusCreated)
}
@@ -931,6 +1016,11 @@ func allowedHostsMiddleware(addr net.Addr) gin.HandlerFunc {
}
if allowedHost(host) {
if c.Request.Method == "OPTIONS" {
c.AbortWithStatus(http.StatusNoContent)
return
}
c.Next()
return
}
@@ -943,6 +1033,7 @@ func (s *Server) GenerateRoutes() http.Handler {
config := cors.DefaultConfig()
config.AllowWildcard = true
config.AllowBrowserExtensions = true
config.AllowHeaders = []string{"Authorization", "Content-Type", "User-Agent", "Accept", "X-Requested-With"}
config.AllowOrigins = envconfig.AllowOrigins
r := gin.Default()
@@ -955,6 +1046,7 @@ func (s *Server) GenerateRoutes() http.Handler {
r.POST("/api/generate", s.GenerateHandler)
r.POST("/api/chat", s.ChatHandler)
r.POST("/api/embeddings", s.EmbeddingsHandler)
r.POST("/api/tokenize", s.TokenizeHandler)
r.POST("/api/create", s.CreateModelHandler)
r.POST("/api/push", s.PushModelHandler)
r.POST("/api/copy", s.CopyModelHandler)
@@ -1027,7 +1119,8 @@ func Serve(ln net.Listener) error {
}
ctx, done := context.WithCancel(context.Background())
sched := InitScheduler(ctx)
schedCtx, schedDone := context.WithCancel(ctx)
sched := InitScheduler(schedCtx)
s := &Server{addr: ln.Addr(), sched: sched}
r := s.GenerateRoutes()
@@ -1042,23 +1135,31 @@ func Serve(ln net.Listener) error {
go func() {
<-signals
srvr.Close()
done()
schedDone()
sched.unloadAllRunners()
gpu.Cleanup()
os.Exit(0)
done()
}()
if err := llm.Init(); err != nil {
return fmt.Errorf("unable to initialize llm library %w", err)
}
s.sched.Run(ctx)
s.sched.Run(schedCtx)
// At startup we retrieve GPU information so we can get log messages before loading a model
// This will log warnings to the log in case we have problems with detected GPUs
_ = gpu.GetGPUInfo()
gpus := gpu.GetGPUInfo()
gpus.LogDetails()
return srvr.Serve(ln)
err = srvr.Serve(ln)
// If server is closed from the signal handler, wait for the ctx to be done
// otherwise error out quickly
if !errors.Is(err, http.ErrServerClosed) {
return err
}
<-ctx.Done()
return err
}
func waitForStream(c *gin.Context, ch chan interface{}) {
@@ -1167,10 +1268,6 @@ func (s *Server) ChatHandler(c *gin.Context) {
opts, err := modelOptions(model, req.Options)
if err != nil {
if errors.Is(err, api.ErrInvalidOpts) {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -1212,10 +1309,11 @@ func (s *Server) ChatHandler(c *gin.Context) {
// an empty request loads the model
if len(req.Messages) == 0 || prompt == "" {
resp := api.ChatResponse{
CreatedAt: time.Now().UTC(),
Model: req.Model,
Done: true,
Message: api.Message{Role: "assistant"},
CreatedAt: time.Now().UTC(),
Model: req.Model,
Done: true,
DoneReason: "load",
Message: api.Message{Role: "assistant"},
}
c.JSON(http.StatusOK, resp)
return
@@ -1248,10 +1346,11 @@ func (s *Server) ChatHandler(c *gin.Context) {
fn := func(r llm.CompletionResponse) {
resp := api.ChatResponse{
Model: req.Model,
CreatedAt: time.Now().UTC(),
Message: api.Message{Role: "assistant", Content: r.Content},
Done: r.Done,
Model: req.Model,
CreatedAt: time.Now().UTC(),
Message: api.Message{Role: "assistant", Content: r.Content},
Done: r.Done,
DoneReason: r.DoneReason,
Metrics: api.Metrics{
PromptEvalCount: r.PromptEvalCount,
PromptEvalDuration: r.PromptEvalDuration,

View File

@@ -124,14 +124,12 @@ func Test_Routes(t *testing.T) {
Method: http.MethodPost,
Path: "/api/create",
Setup: func(t *testing.T, req *http.Request) {
f, err := os.CreateTemp(t.TempDir(), "ollama-model")
assert.Nil(t, err)
defer f.Close()
fname := createTestFile(t, "ollama-model")
stream := false
createReq := api.CreateRequest{
Name: "t-bone",
Modelfile: fmt.Sprintf("FROM %s", f.Name()),
Modelfile: fmt.Sprintf("FROM %s", fname),
Stream: &stream,
}
jsonData, err := json.Marshal(createReq)
@@ -216,27 +214,25 @@ func Test_Routes(t *testing.T) {
httpSrv := httptest.NewServer(router)
t.Cleanup(httpSrv.Close)
workDir, err := os.MkdirTemp("", "ollama-test")
assert.Nil(t, err)
defer os.RemoveAll(workDir)
os.Setenv("OLLAMA_MODELS", workDir)
t.Setenv("OLLAMA_MODELS", t.TempDir())
for _, tc := range testCases {
t.Logf("Running Test: [%s]", tc.Name)
u := httpSrv.URL + tc.Path
req, err := http.NewRequestWithContext(context.TODO(), tc.Method, u, nil)
assert.Nil(t, err)
t.Run(tc.Name, func(t *testing.T) {
u := httpSrv.URL + tc.Path
req, err := http.NewRequestWithContext(context.TODO(), tc.Method, u, nil)
assert.Nil(t, err)
if tc.Setup != nil {
tc.Setup(t, req)
}
if tc.Setup != nil {
tc.Setup(t, req)
}
resp, err := httpSrv.Client().Do(req)
assert.Nil(t, err)
defer resp.Body.Close()
resp, err := httpSrv.Client().Do(req)
assert.Nil(t, err)
defer resp.Body.Close()
if tc.Expected != nil {
tc.Expected(t, resp)
}
if tc.Expected != nil {
tc.Expected(t, resp)
}
})
}
}

View File

@@ -265,11 +265,14 @@ func (s *Scheduler) processCompleted(ctx context.Context) {
s.loadedMu.Lock()
slog.Debug("got lock to unload", "model", runner.model)
finished := runner.waitForVRAMRecovery()
runner.unload()
delete(s.loaded, runner.model)
s.loadedMu.Unlock()
slog.Debug("runner released", "model", runner.model)
runner.refMu.Unlock()
<-finished
slog.Debug("sending an unloaded event", "model", runner.model)
s.unloadedCh <- struct{}{}
}
@@ -465,6 +468,61 @@ func (runner *runnerRef) needsReload(ctx context.Context, req *LlmRequest) bool
return false
}
// Free memory reporting on GPUs can lag for a while even after the runner
// exits, so we have to keep checking until we see the available memory recover,
// otherwise subsequent model loads will get far less layers loaded or worse
// case, may completely fall back to CPU mode.
// This routine must be called before the runner unloads so it can establish
// a before and after GPU memory allocation. The returned channel
// will be notified when we're done waiting, or have timed out and should
// proceed anyway
func (runner *runnerRef) waitForVRAMRecovery() chan interface{} {
finished := make(chan interface{}, 1)
// CPU or Metal don't need checking, so no waiting required
if len(runner.gpus) == 1 && (runner.gpus[0].Library == "cpu" || runner.gpus[0].Library == "metal") {
finished <- struct{}{}
return finished
}
start := time.Now()
// Establish a baseline before we unload
gpusBefore := gpu.GetGPUInfo()
var totalMemoryBefore, freeMemoryBefore uint64
for _, gpu := range gpusBefore {
totalMemoryBefore += gpu.TotalMemory
freeMemoryBefore += gpu.FreeMemory
}
go func() {
expiresAt := start.Add(5 * time.Second) // typical convergence is 0.5-1.5s
ticker := time.NewTicker(250 * time.Millisecond)
defer ticker.Stop()
for {
<-ticker.C
if time.Now().After(expiresAt) {
slog.Warn("gpu VRAM usage didn't recover within timeout", "seconds", time.Since(start).Seconds())
finished <- struct{}{}
}
// Query GPUs, look for free to go back up
gpusNow := gpu.GetGPUInfo()
var totalMemoryNow, freeMemoryNow uint64
for _, gpu := range gpusNow {
totalMemoryNow += gpu.TotalMemory
freeMemoryNow += gpu.FreeMemory
}
// If we're within ~80% of the estimated memory usage recovered, bail out
if float32(freeMemoryNow-freeMemoryBefore) > float32(runner.estimatedVRAM)*0.8 {
slog.Debug(fmt.Sprintf("gpu VRAM free memory converged after %0.2f seconds", time.Since(start).Seconds()))
finished <- struct{}{}
return
}
}
}()
return finished
}
type ByDuration []*runnerRef
func (a ByDuration) Len() int { return len(a) }

View File

@@ -35,6 +35,12 @@ func Unqualified(n Name) error {
// spot in logs.
const MissingPart = "!MISSING!"
const (
defaultHost = "registry.ollama.ai"
defaultNamespace = "library"
defaultTag = "latest"
)
// DefaultName returns a name with the default values for the host, namespace,
// and tag parts. The model and digest parts are empty.
//
@@ -43,9 +49,9 @@ const MissingPart = "!MISSING!"
// - The default tag is ("latest")
func DefaultName() Name {
return Name{
Host: "registry.ollama.ai",
Namespace: "library",
Tag: "latest",
Host: defaultHost,
Namespace: defaultNamespace,
Tag: defaultTag,
}
}
@@ -169,6 +175,27 @@ func ParseNameBare(s string) Name {
return n
}
// ParseNameFromFilepath parses a 4-part filepath as a Name. The parts are
// expected to be in the form:
//
// { host } "/" { namespace } "/" { model } "/" { tag }
func ParseNameFromFilepath(s string) (n Name) {
parts := strings.Split(s, string(filepath.Separator))
if len(parts) != 4 {
return Name{}
}
n.Host = parts[0]
n.Namespace = parts[1]
n.Model = parts[2]
n.Tag = parts[3]
if !n.IsFullyQualified() {
return Name{}
}
return n
}
// Merge merges the host, namespace, and tag parts of the two names,
// preferring the non-empty parts of a.
func Merge(a, b Name) Name {
@@ -203,6 +230,27 @@ func (n Name) String() string {
return b.String()
}
// DisplayShort returns a short string version of the name.
func (n Name) DisplayShortest() string {
var sb strings.Builder
if n.Host != defaultHost {
sb.WriteString(n.Host)
sb.WriteByte('/')
sb.WriteString(n.Namespace)
sb.WriteByte('/')
} else if n.Namespace != defaultNamespace {
sb.WriteString(n.Namespace)
sb.WriteByte('/')
}
// always include model and tag
sb.WriteString(n.Model)
sb.WriteString(":")
sb.WriteString(n.Tag)
return sb.String()
}
// IsValid reports whether all parts of the name are present and valid. The
// digest is a special case, and is checked for validity only if present.
func (n Name) IsValid() bool {
@@ -242,12 +290,14 @@ func (n Name) Filepath() string {
if !n.IsFullyQualified() {
panic("illegal attempt to get filepath of invalid name")
}
return strings.ToLower(filepath.Join(
n.Host,
n.Namespace,
n.Model,
return filepath.Join(
strings.ToLower(filepath.Join(
n.Host,
n.Namespace,
n.Model,
)),
n.Tag,
))
)
}
// LogValue returns a slog.Value that represents the name as a string.

View File

@@ -19,6 +19,16 @@ func TestParseNameParts(t *testing.T) {
wantFilepath string
wantValidDigest bool
}{
{
in: "registry.ollama.ai/library/dolphin-mistral:7b-v2.6-dpo-laser-q6_K",
want: Name{
Host: "registry.ollama.ai",
Namespace: "library",
Model: "dolphin-mistral",
Tag: "7b-v2.6-dpo-laser-q6_K",
},
wantFilepath: filepath.Join("registry.ollama.ai", "library", "dolphin-mistral", "7b-v2.6-dpo-laser-q6_K"),
},
{
in: "scheme://host:port/namespace/model:tag",
want: Name{
@@ -266,9 +276,9 @@ func TestFilepathAllocs(t *testing.T) {
allocs := testing.AllocsPerRun(1000, func() {
n.Filepath()
})
allowedAllocs := 2.0
var allowedAllocs float64 = 3
if runtime.GOOS == "windows" {
allowedAllocs = 4
allowedAllocs = 5
}
if allocs > allowedAllocs {
t.Errorf("allocs = %v; allowed %v", allocs, allowedAllocs)
@@ -309,6 +319,49 @@ func TestParseDigest(t *testing.T) {
}
}
func TestParseNameFromFilepath(t *testing.T) {
cases := map[string]Name{
filepath.Join("host", "namespace", "model", "tag"): {Host: "host", Namespace: "namespace", Model: "model", Tag: "tag"},
filepath.Join("host:port", "namespace", "model", "tag"): {Host: "host:port", Namespace: "namespace", Model: "model", Tag: "tag"},
filepath.Join("namespace", "model", "tag"): {},
filepath.Join("model", "tag"): {},
filepath.Join("model"): {},
filepath.Join("..", "..", "model", "tag"): {},
filepath.Join("", "namespace", ".", "tag"): {},
filepath.Join(".", ".", ".", "."): {},
filepath.Join("/", "path", "to", "random", "file"): {},
}
for in, want := range cases {
t.Run(in, func(t *testing.T) {
got := ParseNameFromFilepath(in)
if !reflect.DeepEqual(got, want) {
t.Errorf("parseNameFromFilepath(%q) = %v; want %v", in, got, want)
}
})
}
}
func TestDisplayShortest(t *testing.T) {
cases := map[string]string{
"registry.ollama.ai/library/model:latest": "model:latest",
"registry.ollama.ai/library/model:tag": "model:tag",
"registry.ollama.ai/namespace/model:tag": "namespace/model:tag",
"host/namespace/model:tag": "host/namespace/model:tag",
"host/library/model:tag": "host/library/model:tag",
}
for in, want := range cases {
t.Run(in, func(t *testing.T) {
got := ParseNameBare(in).DisplayShortest()
if got != want {
t.Errorf("parseName(%q).DisplayShortest() = %q; want %q", in, got, want)
}
})
}
}
func FuzzName(f *testing.F) {
for s := range testCases {
f.Add(s)