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
- [Bug]: SpeculativeConfig method="draft_model" cannot load mixed-precision compressed-tensors checkpoints (config_groups)
- [Misc] Add unit test for moe_fused_mul_sum Triton kernel
- Support Voxtral audio generation in the Transformers backend
- fix(responses): reject code_interpreter tool call missing "code" field
- [Bugfix][MiMo] Apply vision attention sinks in the window attention path
- kernels: fused silu_and_mul + dynamic per-token FP8 quantization
- [Bugfix] Pick a KV block size supported by every attention backend
- [FEAT] Support fast engine recovery through weight cache
- [Bug] DeepSeek-V4 on SM12x: NaN MQA logits drive top_k_per_row_prefill to emit uninitialized smem as indices -> illegal memory access
- [Bug]: [Regression] Assertion res == CUresult::CUDA_SUCCESS failed in FlashMLA (phase1.cuh) for DeepSeek-V4 on v0.26.0 (Works in v0.25.0)
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