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]: Design a shared warmup infrastructure for JITs
- Remediate vllm-openai dependency vulnerability findings
- [DSV4] Support MTP for TP16
- [Bugfix][Tool Parser] deepseek_v3: accept optional newline before JSON arguments
- [Bugfix] Gemma-4 k_eq_v x compressed-tensors: propagate shard aliases
- [Bug]: MLA chunked-context prefill crashes on sm80 with Marlin FP8: kv_c_normed cast to packed-int32 weight dtype (`unsupported \`a\` scalar_type`)
- [Bug]: DeepSeek-V4-Pro (DeepseekV4ForCausalLM, scale_fmt=ue8m0 / FP4 MoE) produces garbled / degenerate output under tensor parallelism (TP), while data parallelism + expert parallelism (DP+EP) works correctly
- [ROCm][NVFP4] flydsl NVFP4 MOE kernel for gfx950/gfx942 (MI355/350/325/300)
- [Bug]: tool schemas without type field default to string rather than any type
- [RFC]: ReplaySSM: cache SSM inputs instead of state for faster standard and speculative decode (Mamba2 + GDN)
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- Python not yet supported