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
- [RFC]: Dual Batch Overlap (DBO) for Model Runner V2
- [Bug]: runai_streamer multi-node: a separate object-storage tokenizer URI is never pulled on peer nodes
- [Bugfix] Pull a separate Run:ai tokenizer on every node
- [Bugfix] Refresh stale M-RoPE state when streaming re-feeds grow a RUNNING request's prompt
- [Bug]: gpt-oss chat completions return 500 "Unexpected token 200002 while expecting start token 200006" when ignore_eos=true
- [Bugfix][AsyncScheduler] Reserve placeholders for the final prefill chunk of a streaming update
- [Bug]: DiffusionGemma: runtime CUDA OOM under concurrent decode (fp32 canvas×vocab temporaries)
- [Bug]: int8_per_token_head KV + prefix caching corrupts output when the KV pool is pinned at 100% (Gemma-4 hybrid, Triton)
- [Bug] DFlash on SM121 (GB10 / DGX Spark): attention autoselect picks FLASH_ATTN for non-causal draft attention and device-asserts in _vllm_fa2_C.varlen_fwd
- [Bug]: TurboQuant hybrid model crashes at determine_available_memory with 'Unknown cache dtype: auto' on v0.25.0+
- Docs
- Python not yet supported