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https://github.com/meta-llama/llama-stack.git
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eddef0b2ae
Quick test by running: ``` LLAMA_STACK_CONFIG=fireworks pytest -s -v tests/client-sdk ```
51 lines
1.6 KiB
Python
51 lines
1.6 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.models.llama.datatypes import CoreModelId
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from llama_stack.providers.utils.inference.model_registry import (
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build_hf_repo_model_alias,
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)
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_MODEL_ALIASES = [
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build_hf_repo_model_alias(
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"meta/llama3-8b-instruct",
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CoreModelId.llama3_8b_instruct.value,
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),
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build_hf_repo_model_alias(
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"meta/llama3-70b-instruct",
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CoreModelId.llama3_70b_instruct.value,
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),
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build_hf_repo_model_alias(
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"meta/llama-3.1-8b-instruct",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_hf_repo_model_alias(
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"meta/llama-3.1-70b-instruct",
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CoreModelId.llama3_1_70b_instruct.value,
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),
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build_hf_repo_model_alias(
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"meta/llama-3.1-405b-instruct",
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CoreModelId.llama3_1_405b_instruct.value,
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),
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build_hf_repo_model_alias(
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"meta/llama-3.2-1b-instruct",
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CoreModelId.llama3_2_1b_instruct.value,
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),
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build_hf_repo_model_alias(
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"meta/llama-3.2-3b-instruct",
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CoreModelId.llama3_2_3b_instruct.value,
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),
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build_hf_repo_model_alias(
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"meta/llama-3.2-11b-vision-instruct",
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CoreModelId.llama3_2_11b_vision_instruct.value,
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),
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build_hf_repo_model_alias(
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"meta/llama-3.2-90b-vision-instruct",
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CoreModelId.llama3_2_90b_vision_instruct.value,
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),
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# TODO(mf): how do we handle Nemotron models?
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# "Llama3.1-Nemotron-51B-Instruct" -> "meta/llama-3.1-nemotron-51b-instruct",
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]
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