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
- [Usage]: Removing last generated token from output and kv cache
- [Bug]: Qwen3-Embedding models get stuck when embedding input of max-model-len
- [ROCm][FEAT] Support Decode Context Parallelism for ROCM_AITER_FA Backend
- [Feature]: Conformance test for Gateway API Inference Extension
- [Bug]: disagg_example_p2p_nccl_xpyd.sh RuntimeError: Engine core initialization failed. See root cause above. Failed core proc(s): {}
- [Bug] RuntimeError: Cannot re-initialize CUDA in forked subprocess when using lmcache/kv_cache_sharing_lmcache_v1
- [Bug]: kimi-k2 gets wrong tool_call_id
- [Bug]: CUDA Graph Replay Skips KV Transfer Synchronization in Full Cache Hit Scenarios
- [Bug]: DSR1 fp4/fp8 MTP with spec num 3 has perf drop when enable async-scheduling
- [Bug]: single node 8 h20,ebo failed!
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- Python not yet supported