mirror of
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66 lines
2 KiB
Python
66 lines
2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import Dict, List, Optional, Protocol
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from llama_models.llama3.api.datatypes import * # noqa: F403
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from llama_models.schema_utils import json_schema_type, webmethod
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from pydantic import BaseModel, Field
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@json_schema_type
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class ModelSpec(BaseModel):
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llama_model_metadata: Model = Field(
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description="All metadatas associated with llama model (defined in llama_models.models.sku_list). "
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)
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providers_spec: Dict[str, List[Any]] = Field(
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default_factory=dict,
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description="Map of API to the concrete provider specs. E.g. {}".format(
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{
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"inference": [
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{
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"provider_type": "remote::8080",
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"url": "localhost::5555",
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"api_token": "hf_xxx",
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},
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{
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"provider_type": "meta-reference",
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"model": "Meta-Llama3.1-8B-Instruct",
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"max_seq_len": 4096,
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},
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]
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}
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),
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)
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@json_schema_type
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class ModelsListResponse(BaseModel):
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models_list: List[ModelSpec]
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@json_schema_type
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class ModelsGetResponse(BaseModel):
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core_model_spec: Optional[ModelSpec] = None
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@json_schema_type
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class ModelsRegisterResponse(BaseModel):
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core_model_spec: Optional[ModelSpec] = None
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class Models(Protocol):
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@webmethod(route="/models/list", method="GET")
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async def list_models(self) -> ModelsListResponse: ...
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@webmethod(route="/models/get", method="POST")
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async def get_model(self, model_id: str) -> ModelsGetResponse: ...
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@webmethod(route="/models/register")
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async def register_model(
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self, model_id: str, api: str, provider_spec: Dict[str, str]
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) -> ModelsRegisterResponse: ...
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