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][Spec Decode] DSpark: store draft KV cache in model dtype for MLA-only cache layouts; fail fast on DCP
- [ROCm][Quant] Requantize serialized MXFP8 linears to FP8 PTPC
- [Bugfix] Wire up weight offloader in V2 Model Runner (`--cpu-offload-gb` was silently a no-op)
- [Bugfix] Clamp spec-decode state index load for zero num_accepted_tokens in GDN kernels
- fix(security): validate GPTQ kernel inputs to prevent OOB reads
- [Doc] Add NemotronHPuzzleForCausalLM to supported_models.md
- [Bugfix] Gemma4: don't crash when a KV-shared layer has no same-type target
- [Frontend] Add offline prefix-cache workload analyzer CLI
- [RFC] LoRA Adapter Lifecycle for RL Training
- [RFC] Sleep/Wake Correctness for RL
- Docs
- Python not yet supported