2a2d527e96
### What this PR does / why we need it?
In certain scenarios (such as smoke testing), the source code is used to
update the vllm-ascend version for running updated models (such as
Qwen3-VL). However, vllm and vllm-ascend themselves have no restrictions
on the transformer version, and the transformer will not be updated,
resulting in errors when launching the model.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: 李少鹏 <lishaopeng21@huawei.com>
35 lines
572 B
Plaintext
35 lines
572 B
Plaintext
# Should be mirrored in pyporject.toml
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cmake>=3.26
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decorator
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einops
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numpy<2.0.0
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packaging
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pip
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pybind11
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pyyaml
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scipy
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pandas
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setuptools>=64
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setuptools-scm>=8
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torch==2.8.0
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torchvision
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wheel
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pandas-stubs
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opencv-python-headless<=4.11.0.86 # Required to avoid numpy version conflict with vllm
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compressed_tensors>=0.11.0
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# requirements for disaggregated prefill
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msgpack
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quart
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# Required for N-gram speculative decoding
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numba
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# Install torch_npu
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#--pre
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#--extra-index-url https://mirrors.huaweicloud.com/ascend/repos/pypi
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torch-npu==2.8.0
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transformers>=4.57.3
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fastapi<0.124.0
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