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][Tool Parser] Keep content after FunctionGemma tool calls in non-streaming parse
- [Bug]: Qwen3.8-Flash-Next-NVFP4 service cannot start normally.
- [DSA] Add fuse_score_remap fused decode score+topk backend
- [Bugfix][RL] Handle non-contiguous sparse NCCL patches
- [ROCm][Bugfix] Support FP8 KV cache for NoPE sparse MLA
- [Parser] Fix: strip content whitespace at tool-call boundaries in streaming path
- [Feature]: SM8x (Ampere A100/A800) support for DeepSeek-V4.1-Flash
- [Bugfix][Attention] Zero the null KV block after CUDA graph capture
- [Bug]: OffloadingConnector KV events advertise block hashes that are not independently retrievable
- [Bugfix][Quantization] Stop sleep(level=2) from zeroing compressed-tensors KV scales
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- Python not yet supported