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d266c59c2a
# What does this PR do? remove unused chat_completion implementations vllm features ported - - requires max_tokens be set, use config value - set tool_choice to none if no tools provided ## Test Plan ci
78 lines
2.9 KiB
Python
78 lines
2.9 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 llama_stack.apis.inference import * # noqa: F403
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from llama_stack.apis.inference import OpenAIEmbeddingsResponse
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# from llama_stack.providers.datatypes import ModelsProtocolPrivate
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from llama_stack.providers.utils.inference.model_registry import ModelRegistryHelper, build_hf_repo_model_entry
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from llama_stack.providers.utils.inference.openai_compat import (
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get_sampling_options,
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)
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from llama_stack.providers.utils.inference.prompt_adapter import (
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chat_completion_request_to_prompt,
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)
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from .config import RunpodImplConfig
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# https://docs.runpod.io/serverless/vllm/overview#compatible-models
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# https://github.com/runpod-workers/worker-vllm/blob/main/README.md#compatible-model-architectures
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RUNPOD_SUPPORTED_MODELS = {
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"Llama3.1-8B": "meta-llama/Llama-3.1-8B",
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"Llama3.1-70B": "meta-llama/Llama-3.1-70B",
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"Llama3.1-405B:bf16-mp8": "meta-llama/Llama-3.1-405B",
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"Llama3.1-405B": "meta-llama/Llama-3.1-405B-FP8",
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"Llama3.1-405B:bf16-mp16": "meta-llama/Llama-3.1-405B",
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"Llama3.1-8B-Instruct": "meta-llama/Llama-3.1-8B-Instruct",
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"Llama3.1-70B-Instruct": "meta-llama/Llama-3.1-70B-Instruct",
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"Llama3.1-405B-Instruct:bf16-mp8": "meta-llama/Llama-3.1-405B-Instruct",
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"Llama3.1-405B-Instruct": "meta-llama/Llama-3.1-405B-Instruct-FP8",
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"Llama3.1-405B-Instruct:bf16-mp16": "meta-llama/Llama-3.1-405B-Instruct",
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"Llama3.2-1B": "meta-llama/Llama-3.2-1B",
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"Llama3.2-3B": "meta-llama/Llama-3.2-3B",
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}
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SAFETY_MODELS_ENTRIES = []
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# Create MODEL_ENTRIES from RUNPOD_SUPPORTED_MODELS for compatibility with starter template
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MODEL_ENTRIES = [
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build_hf_repo_model_entry(provider_model_id, model_descriptor)
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for provider_model_id, model_descriptor in RUNPOD_SUPPORTED_MODELS.items()
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] + SAFETY_MODELS_ENTRIES
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class RunpodInferenceAdapter(
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ModelRegistryHelper,
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Inference,
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):
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def __init__(self, config: RunpodImplConfig) -> None:
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ModelRegistryHelper.__init__(self, stack_to_provider_models_map=RUNPOD_SUPPORTED_MODELS)
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self.config = config
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async def initialize(self) -> None:
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return
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async def shutdown(self) -> None:
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pass
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def _get_params(self, request: ChatCompletionRequest) -> dict:
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return {
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"model": self.map_to_provider_model(request.model),
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"prompt": chat_completion_request_to_prompt(request),
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"stream": request.stream,
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**get_sampling_options(request.sampling_params),
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}
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async def openai_embeddings(
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self,
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model: str,
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input: str | list[str],
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encoding_format: str | None = "float",
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dimensions: int | None = None,
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user: str | None = None,
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) -> OpenAIEmbeddingsResponse:
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raise NotImplementedError()
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