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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>
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@@ -41,6 +41,7 @@ import grpc
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'common'))
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'common'))
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from grpc_auth import get_auth_interceptors
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from model_utils import resolve_model_reference
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# sglang imports. Engine is the stable public entry point; parser modules
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# are wrapped in try/except so older / leaner installs that omit them
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@@ -173,7 +174,8 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
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return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
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async def LoadModel(self, request, context):
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engine_kwargs = {"model_path": request.Model}
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model_ref, local_only = resolve_model_reference(request)
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engine_kwargs = {"model_path": model_ref}
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if request.Quantization:
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engine_kwargs["quantization"] = request.Quantization
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@@ -228,8 +230,9 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
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if HAS_TRANSFORMERS:
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try:
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self.tokenizer = AutoTokenizer.from_pretrained(
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request.Model,
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model_ref,
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trust_remote_code=bool(request.TrustRemoteCode),
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local_files_only=local_only,
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)
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except Exception as err:
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print(f"AutoTokenizer load failed (non-fatal): {err!r}", file=sys.stderr)
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