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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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@@ -26,6 +26,7 @@ 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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@@ -190,19 +191,23 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
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)
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print(traceback.format_exc(), file=sys.stderr)
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# Get model path from request
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model_path = request.Model
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if not model_path:
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model_path = "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice"
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model_path, _local_only = resolve_model_reference(
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request, "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice"
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)
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detection_ref = request.Model or model_path
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# Determine model type from model path or options
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self.model_type = self.options.get("model_type", None)
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if not self.model_type:
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if "CustomVoice" in model_path:
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if "CustomVoice" in detection_ref:
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self.model_type = "CustomVoice"
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elif "VoiceDesign" in model_path:
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elif "VoiceDesign" in detection_ref:
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self.model_type = "VoiceDesign"
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elif "Base" in model_path or "0.6B" in model_path or "1.7B" in model_path:
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elif (
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"Base" in detection_ref
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or "0.6B" in detection_ref
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or "1.7B" in detection_ref
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):
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self.model_type = "Base" # VoiceClone model
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else:
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# Default to CustomVoice
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