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
- [ROCm] Add tuned MoE configs for Radeon 8060S (gfx1151)
- [ROCm] Fix get_device_name crash with TheRock/MagicMock amdsmi stub
- [MoE Refactor] Add MoEKernelOracle ABC base class and migrate Unquantized oracle
- [Bugfix] Reject non-positive num_gpu_blocks_override in CacheConfig
- [Bug]: vLLM hangs when sending a request with "response_format" key for early unsuppoted models like Minimax-M2.5
- [Perf] Add tuned Triton fused MoE configs for NVIDIA H20 (fp8_w8a8)
- [Feature]: Could you help with implement the KV cache pruning feature on vLLM?
- [KVCache] Support model specific KVCache planning
- Add DeepSeek-V4 FIM completion rendering
- [Bugfix] Fix speculative decoding for short_conv (LFM2) models
- Docs
- Python not yet supported