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
- [NVFP4] Support clamped SwiGLU-OAI (SwigluBias) on FlashInfer-CUTLASS MoE
- [Perf] Restore zero-init of swizzled NVFP4 scale buffer to recover Blackwell decode throughput
- [Perf]: Severe NVFP4 decode throughput regression on Blackwell (B300/GB300): uninitialized swizzled scale buffer in `create_fp4_scale_tensor`
- [Bug]: Responses API streaming for GPT-OSS Harmony crashes OpenAI SDK with `IndexError` due to incorrect `content_index` logic
- [Bugfix] Reset per-item content_index in gpt-oss Responses streaming
- Turboquant native fp8 v4 store
- [Bugfix] DiffusionGemma: only pop a request's logprobs when it commits (#45689)
- [Bug] MLA alignment fail in Eagle speculative decoding for Kimi-K2.6 due to missing kimi_k2 model_type whitelist
- [TieredOffloading] Bound Secondary Tier lookup times
- [RFC]: Enable connector LoRA for audio multimodal models — convert nn.Linear projectors to vLLM-native linears
- Docs
- Python not yet supported