forked from phoenix-oss/llama-stack-mirror
# What does this PR do? The goal of this PR is code base modernization. Schema reflection code needed a minor adjustment to handle UnionTypes and collections.abc.AsyncIterator. (Both are preferred for latest Python releases.) Note to reviewers: almost all changes here are automatically generated by pyupgrade. Some additional unused imports were cleaned up. The only change worth of note can be found under `docs/openapi_generator` and `llama_stack/strong_typing/schema.py` where reflection code was updated to deal with "newer" types. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
34 lines
1.1 KiB
Python
34 lines
1.1 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 llama_stack.models.llama.sku_list import all_registered_models
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from llama_stack.models.llama.sku_types import * # noqa: F403
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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[Model]:
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return [
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m
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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, ModelFamily.llama3_3, ModelFamily.llama4}
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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 = {m.huggingface_repo: m.descriptor() for m in all_registered_models()}
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