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
- [Bugfix] Add autotuning guard to all unprotected FlashInfer MoE kernels
- [Bugfix] Align routed_experts with streamed and final output token spans
- Unwrap fused_moe (control via env var) for non-DP-EP cases
- fix(moe): detect and handle unquantized MoE weights in NVFP4 checkpoints
- [Bugfix][sleepmode] Serialize GPU VMM operations to fix sleep/wakeup race condition
- [Feature][Cleanup]: Optimize token data structures (list[int] to TokenArray)
- feat: Standardize load_weights API via AutoWeightsLoader
- [Bugfix] Fix env_with_choices returning raw casing when case_sensitive=False
- [CI][Bugfix][AMD][ Ensure weights created when using emulating OCP MXFP4
- [RFC]: Observation Plugin for Intercepting & Routing on Activations
- Docs
- Python not yet supported