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
- [Kernel fusion] QK Norm + RoPE + Cache + Quant
- [Bugfix] Opt-in INFO prompt summaries for request logging (--enable-log-request-prompts)
- [Doc]: improve disaggregated prefilling guide
- [Bug]: Streaming last chunk contains non-empty tool_calls with empty fields "type" causing type validation error
- [RFC]: Add Mooncake Store Connector for Shared KV Cache Reuse
- [Bug]: vLLM crashed when working with CPU offloading
- openshift-compatibility
- [Benchmark] Fix poem dataset sampling infinite loop when input_len is too small
- [Bug]: AssertionError: Encoder cache miss crashes engine with MTP + multimodal under high concurrency
- [Bug]: `reasoning_content` silently dropped on incoming assistant messages
- Docs
- Python not yet supported