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
- Add support to pass custom presence_penalty and frequency_penalty parameters in the generation config
- [Core] Add sharding metadata to model parameters
- [Bugfix][NIXL] Compute NIXL throughput using timestamps instead of summed durations
- [Bugfix] Fix LoRA + TP > 1 crash due to non-contiguous input tensor in lora_shrink_op.py
- [Bugfix] Fix MiniMax M2 TP dimension issue in q_norm and k_norm
- fix(xpu): handle mem_get_info failure on XPU simulator (testing only)
- [Bug]: Qwen/Qwen3.5-27B Batch Inference very slow / not working
- feat(responses): pluggable ResponseStore abstraction
- fix(cmake): support distro PyTorch without vendored libgomp
- refactor(metrics): consolidate histogram bucket definitions into buck…
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