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
- fix: Responses API streaming tool call support for non-harmony models
- [Cleanup] Unify RMSNormGated and FusedRMSNormGated
- Fix prompt_logprobs to respect logprobs_mode
- [fix] Remove trtllm ragged mla prefills
- [ROCm][Bugfix] Fix MXFP4 MoE emulate fallback logic on MX-capable hardware
- [Kernel] Fuse FP8 output quantization into merge_attn_states
- Enable Torch Profiling PD vLLM Disagg
- [Model] Add HyperCLOVAX-SEED-Omni-8B model support
- [Feature] Add debug tensor dump for intermediate activations
- skip triton when graph capture
- Docs
- Python not yet supported