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]: EngineCore crash — assert req_id in self.requests in _update_from_kv_xfer_finished when an async KV connector reports a finished transfer for an aborted/freed request
- [Bugfix][Gemma4MoE] Fix AutoRound quantized Gemma4 MoE loading
- [Bug]: `previous_response_id` drops function_call/function_call_output from stored context in Responses API
- [Bug]: AttributeError in mla_attention.py L2094 (_compute_prefill_context) on long prefill with AWQ model — regression after PR #34695
- [Bug]: Qwen3-VL-MoE crashes at init with pipeline parallelism ("No model architectures are specified")
- [Bugfix] Qwen3-VL(-MoE): pass architectures to with_hf_config for pipeline parallelism
- [Bug]: EagleMistralLarge3Model crashes with AttributeError: 'use_mha' on vLLM 0.21.0
- [Bug]: b12x NSA+MTP speculative decoding hangs on PCIe TP=8 — NCCL topology-aware scheduling fix
- [Bug]: Gemma4 26B-A4B fails because GELU_TANH is unsupported in CPU fused MoE path
- CUDA illegal memory access in FP8 MoE moe_permute with cutlass backend at batch size 8192
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- Python not yet supported