forked from phoenix-oss/llama-stack-mirror
57a9b4d57f
This PR allows models to be registered with provider as long as the user specifies a llama model, even though the model does not match our prebuilt provider specific mapping. Test: pytest -v -s llama_stack/providers/tests/inference/test_model_registration.py -m "together" --env TOGETHER_API_KEY=<KEY> --------- Co-authored-by: Dinesh Yeduguru <dineshyv@fb.com>
38 lines
1 KiB
Python
38 lines
1 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 List
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from llama_models.datatypes import * # noqa: F403
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from llama_models.sku_list import all_registered_models
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def is_supported_safety_model(model: Model) -> bool:
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if model.quantization_format != CheckpointQuantizationFormat.bf16:
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return False
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model_id = model.core_model_id
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return model_id in [
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CoreModelId.llama_guard_3_8b,
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CoreModelId.llama_guard_3_1b,
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CoreModelId.llama_guard_3_11b_vision,
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]
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def supported_inference_models() -> List[str]:
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return [
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m.descriptor()
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for m in all_registered_models()
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if (
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m.model_family in {ModelFamily.llama3_1, ModelFamily.llama3_2}
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or is_supported_safety_model(m)
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)
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]
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ALL_HUGGINGFACE_REPOS_TO_MODEL_DESCRIPTOR = {
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m.huggingface_repo: m.descriptor() for m in all_registered_models()
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}
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