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
- [WIP][Feature] Support GGUF models with qwen3vl architecture
- [Feature] Add KV cache usage metrics to iteration logging
- [DOC] Add INT8 W4A8 docs and Arm's supported quantization schemes
- [Bugfix] Add is_blackwell_class() for SM121/GB10 DGX Spark support
- [Spec Decode][CUDA Graphs] Enables Eagle drafter support for FULL CUDA Graph mode
- [Bug]: Spec Decode Stats still report drafted tokens if drafting is skipped
- fix: replace fatal assertions with MultiModalCacheMissError in MM cache
- [Bug][Spec Decode] Fix AR metrics when drafting is skipped
- [Performance]: Remove `batch_size` and `max_seq_len` padding when cuDNN is upgraded to 9.19
- [WIP] Add Warmup to `vllm bench throughput`
- Docs
- Python not yet supported