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
- [Kernel][ROCm] Cover OCP MX MoE emulation in the mxfp4 oracle test
- [Bug]: Qwen3.6-27B-FP8 on GB10: get_output() spin-loop on stuck CUDA stream during prefill burst (run<6, KV<5%)
- MLA: kv_b_proj.weight.dtype AttributeError on quantized ColumnParallelLinear in chunked prefill
- [Bugfix][DeepSeekV4] Handle optional scale tensors for W4A16-FP8 artifacts
- [Parity with CUDA]: Add top 5-10 popular OSS models into mi355, mi325, mi300 into vLLM nightly performance & accuracy regression testing & dashboard
- [Bug]: V1 structured outputs: a malformed grammar request after a valid one crashes EngineCore
- [WIP][Model Runner V2][Spec Decode] CUDA graph rejection sampling
- [Bugfix] V1: clear stale allowed_token_ids mask in InputBatch.condense
- [DSV4]add sequence parallel support for DSV4
- [Performance] Reduce DeepEP LL batched Marlin activation overhead
- Docs
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