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 hit rate of prefix caching in Qwen3.5 35BA3B is very low, always less than 0.1%
- [Bug]: pip install 0.17 fails with CXXABI_1.3.15 not found
- [Bug]: Negative prompt token counter crashes engine under CPU KV offloading + high concurrency
- [Bug]: GPTBigCode scale_attn_weights config flag is ignored in vLLM
- [Bug]: Empty output when using FP8 + Tensor Parallel (2 GPUs) with Qwen3-8B
- [Bug]: qwen3.5-27b-gptq deploy fail
- [RFC]: Make kernel/op and component tests device-agnostic for OOT plugins
- [kv_offload+HMA][3/N]: Remove block_size from KVEvents
- [ROCm] Enable FP8 inference on gfx1201 AMD RDNA4 (Radeon AI PRO R9700) with aiter kernels
- [RFC]: Changing the Default Behavior of usage Field in Responses
- Docs
- Python not yet supported