### What this PR does / why we need it?
**Scope of Changes**:
| File Path |
| :--- |
|` vllm_ascend/quantization/compressed_tensors/compressed_tensors.py`|
|` vllm_ascend/quantization/quant_config.py`|
|` vllm_ascend/quantization/utils.py`|
|` vllm_ascend/quantization/w4a16.py`|
|` vllm_ascend/quantization/w4a4_flatquant_dynamic.py`|
|` vllm_ascend/quantization/w4a8_dynamic.py`|
|` vllm_ascend/quantization/w8a16.py`|
|` vllm_ascend/quantization/w8a8.py`|
|` vllm_ascend/quantization/w8a8_dynamic.py`|
|` vllm_ascend/quantization/w8a8_pdmix.py`|
|` vllm_ascend/quantization/w8a8mxfp8.py`|
|` vllm_ascend/sample/rejection_sampler.py`|
|` vllm_ascend/sample/sampler.py`|
|` vllm_ascend/worker/block_table.py`|
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.13.0
- vLLM main:
2c24bc6996
Signed-off-by: MrZ20 <2609716663@qq.com>
40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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# This file is a part of the vllm-ascend project.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""Ascend quantization module.
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This module provides quantization support for Ascend NPU.
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Supported quantization tools:
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- ModelSlim: Use AscendModelSlimConfig
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- LLM-Compressor (compressed_tensors): Use AscendCompressedTensorsConfig
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Public API:
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- Config classes: AscendModelSlimConfig, AscendCompressedTensorsConfig
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- For scheme implementations, import from vllm_ascend.quantization.methods
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"""
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# LLM-Compressor (compressed_tensors) quantization config
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from .compressed_tensors_config import AscendCompressedTensorsConfig
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# ModelSlim quantization config
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from .modelslim_config import AscendModelSlimConfig
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__all__ = [
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"AscendModelSlimConfig",
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"AscendCompressedTensorsConfig",
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]
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