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feat: materialize Hugging Face model artifacts (#10825)

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* feat(config): add model artifact source contract

Assisted-by: Codex:GPT-5 [Codex]

* feat(downloader): add authenticated raw-byte progress

Assisted-by: Codex:GPT-5 [Codex]

* feat(huggingface): resolve immutable snapshot manifests

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): add artifact storage primitives

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): materialize pinned Hugging Face snapshots

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): bind managed snapshots at runtime

Assisted-by: Codex:GPT-5 [Codex]

* feat(gallery): materialize model artifacts during install

Assisted-by: Codex:GPT-5 [Codex]

* feat(gallery): declare managed Hugging Face artifacts

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): preload managed model artifacts

Assisted-by: Codex:GPT-5 [Codex]

* fix(gallery): retain shared artifact caches on delete

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): report artifact acquisition progress

Assisted-by: Codex:GPT-5 [Codex]

* refactor(backends): load managed models from ModelFile

Assisted-by: Codex:GPT-5 [Codex]

* refactor(backends): load staged speech model snapshots

Assisted-by: Codex:GPT-5 [Codex]

* refactor(backends): use staged snapshots in engine backends

Assisted-by: Codex:GPT-5 [Codex]

* test(distributed): cover staged artifact snapshots

Assisted-by: Codex:GPT-5 [Codex]

* docs: explain managed model artifacts

Assisted-by: Codex:GPT-5 [Codex]

* docs: add product design context

Assisted-by: Codex:GPT-5 [Codex]

* feat(ui): show model artifact download progress

Assisted-by: Codex:GPT-5 [Codex]

* Eagerly materialize Hugging Face artifacts

Materialize HF-backed model references as managed GGUF artifacts during load, with lazy download retained only as fallback.

Assisted-by: Codex:GPT-5 [shell]

* Refactor HF
  downloads through a shared executor

Assisted-by: Codex:GPT-5 [shell]

* drop

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
LocalAI [bot]
2026-07-15 01:09:33 +02:00
committed by GitHub
parent d82c38ee77
commit bcc41219f7
83 changed files with 4315 additions and 339 deletions
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16
backend/python/fish-speech/backend.py
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@@ -22,6 +22,7 @@ import grpc
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'common'))
sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'common'))
from grpc_auth import get_auth_interceptors
from model_utils import resolve_model_reference
@@ -169,22 +170,17 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
else None
)
# Get model path from request
model_path = request.Model
if not model_path:
model_path = "fishaudio/s2-pro"
# If model_path looks like a HuggingFace repo ID (e.g. "fishaudio/fish-speech-1.5"),
# download it locally first since fish-speech expects a local directory
if "/" in model_path and not os.path.exists(model_path):
model_path, local_only = resolve_model_reference(
request, "fishaudio/s2-pro"
)
if not local_only and "/" in model_path:
from huggingface_hub import snapshot_download
print(
f"Downloading model from HuggingFace: {model_path}",
f"Downloading legacy unmanaged model from HuggingFace: {model_path}",
file=sys.stderr,
)
model_path = snapshot_download(repo_id=model_path)
print(f"Model downloaded to: {model_path}", file=sys.stderr)
# Determine precision
if device in ("mps", "cpu"):