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
- [Bugfix] Fix k_norm weight sharding in MiniMaxM2Attention when total_num_kv_heads < tp_size
- [Bugfix] Fix V2 model runner crash on hybrid attention models (Qwen3.5)
- [Feature]: Add TurboQuant Support for KV Cache Quantization
- Added faster exp routine for lower precision data types.
- [Bugfix] Fix Hermes tool parser when stream interval > 1
- [CT]FP8 WoQ Linear Refactored
- [Model Runner V2] Enable forcing a specific acceptance rate during rejection sampling
- [Mistral Grammar] Support Grammar Factory
- [NVIDIA] Fix DGX Spark logic
- [ROCm][CI] Fix CK MXFP4 MoE GEMM crash for unaligned intermediate_size_per_partition
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- Python not yet supported