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48 lines
1.5 KiB
Python
48 lines
1.5 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.sku_list import CoreModelId
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from llama_stack.providers.utils.inference.model_registry import (
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build_hf_repo_model_entry,
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build_model_entry,
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)
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SAFETY_MODELS_ENTRIES = []
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MODEL_ENTRIES = [
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build_hf_repo_model_entry(
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"llama3-8b-8192",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_model_entry(
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"llama-3.1-8b-instant",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_hf_repo_model_entry(
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"llama3-70b-8192",
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CoreModelId.llama3_70b_instruct.value,
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),
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build_hf_repo_model_entry(
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"llama-3.3-70b-versatile",
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CoreModelId.llama3_3_70b_instruct.value,
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),
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# Groq only contains a preview version for llama-3.2-3b
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# Preview models aren't recommended for production use, but we include this one
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# to pass the test fixture
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# TODO(aidand): Replace this with a stable model once Groq supports it
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build_hf_repo_model_entry(
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"llama-3.2-3b-preview",
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CoreModelId.llama3_2_3b_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/llama-4-scout-17b-16e-instruct",
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CoreModelId.llama4_scout_17b_16e_instruct.value,
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),
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build_hf_repo_model_entry(
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"meta-llama/llama-4-maverick-17b-128e-instruct",
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CoreModelId.llama4_maverick_17b_128e_instruct.value,
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),
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] + SAFETY_MODELS_ENTRIES
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