vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- 还不支持[Usage]: vllm 0.25版本在tp=8并行的时候走dflash 和dspark 命中 attention后端的时候出现错误报错定位 CUDA error (/workspace/.deps/vllm-flash-attn-src/hopper/flash_api.cpp:697): invalid configuration argument 8个worker(TP0-TP7)
- [Bugfix] Video loading: sample over presentable frames, not header sample count (MP4 edit-list trims)
- feat: Add LongCat-Next multimodal MoE model support
- [Bugfix][V1] Preserve per-group eviction order in deferred block free
- fix(logprobs): guard convert_ids_list_to_tokens against out-of-range ids
- [MRV2] Profile flashinfer top-k/top-p sampler to fix warmup OOM
- [Perf] Warm up hybrid Mamba2 Triton kernels reported by the JIT monitor
- [CI/Build] Re-enable registry tests for 3 now-public model checkpoints
- [Bug]: DSpark/DFlash speculative decoding fails to load with --kv-cache-dtype fp8_ds_mla: draft inherits an MLA-only cache layout
- [chore] remove kernel_block_sizes duplicate check in get_preferred_block_size
- Docs
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