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
- REPRO: revert sparse MLA qk_norm_rope_fusion workaround
- [Bug]: `+rotary_embedding` error with DeepSeek-V3.2-NVFP4
- [Performance]: DeepSeek-V3.2 performance on 8xH20 is not match with official data
- [Fix][ROCm] Lazily import NIXL to suppress irrelevant info logs when using MoRI connector
- [Bug]: Qwen/Qwen3.5-122B-A10B-FP8 stuck in thinking loop with 0.19.2rc1.dev107+g4eafc7292
- [Bug]: DeepSeek-R1 hang on 8xB200 after NCCL Initialization
- [Usage]: Missing vllm:num_requests_running and other metrics in vLLM v0.18 when deploying Qwen3.5 27B
- [vllm IR]: Replace`per_token_group_quant_fp8` with `ir.ops.dynamic_group_quant_fp8`
- [Core] Enable FP8 KV cache with DCP for MLA
- [SpecDecode] Fix async proposer synchronization
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