feat: materialize Hugging Face model artifacts (#10825)

* 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

View File

@@ -41,6 +41,7 @@ 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
# sglang imports. Engine is the stable public entry point; parser modules
# are wrapped in try/except so older / leaner installs that omit them
@@ -173,7 +174,8 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
async def LoadModel(self, request, context):
engine_kwargs = {"model_path": request.Model}
model_ref, local_only = resolve_model_reference(request)
engine_kwargs = {"model_path": model_ref}
if request.Quantization:
engine_kwargs["quantization"] = request.Quantization
@@ -228,8 +230,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
if HAS_TRANSFORMERS:
try:
self.tokenizer = AutoTokenizer.from_pretrained(
request.Model,
model_ref,
trust_remote_code=bool(request.TrustRemoteCode),
local_files_only=local_only,
)
except Exception as err:
print(f"AutoTokenizer load failed (non-fatal): {err!r}", file=sys.stderr)