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
- [Bug]: The content of response from Kimi-K2.5 is empty.
- feat(mla): add default do_kv_cache_update for MLA
- [Model] Add support for Solar Open
- [Docs] Do not build the document if there are no docs changes
- [XPU] Support Qwen3 next
- [WIP][Kernel] Add Helion kernel for scaled_mm
- [Bug]: DeepSeekV3.1 with fp8 kvcache in v0.15.0 produces garbled output
- [RFC]: Improve Dynamo compile times 5-10x via unsafe assumptions
- [Bugfix] Handle case when kimi ends reasoning with a tool call
- [Feature] Support manually enabling the cumem allocator
- Docs
- Python not yet supported