forked from phoenix-oss/llama-stack-mirror
530d4bdfe1
# What does this PR do? Move around bits. This makes the copies from llama-models _much_ easier to maintain and ensures we don't entangle meta-reference specific tidbits into llama-models code even by accident. Also, kills the meta-reference-quantized-gpu distro and rolls quantization deps into meta-reference-gpu. ## Test Plan ``` LLAMA_MODELS_DEBUG=1 \ with-proxy llama stack run meta-reference-gpu \ --env INFERENCE_MODEL=meta-llama/Llama-4-Scout-17B-16E-Instruct \ --env INFERENCE_CHECKPOINT_DIR=<DIR> \ --env MODEL_PARALLEL_SIZE=4 \ --env QUANTIZATION_TYPE=fp8_mixed ``` Start a server with and without quantization. Point integration tests to it using: ``` pytest -s -v tests/integration/inference/test_text_inference.py \ --stack-config http://localhost:8321 --text-model meta-llama/Llama-4-Scout-17B-16E-Instruct ```
36 lines
1.1 KiB
Python
36 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 typing import List
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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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