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
- [responsesAPI] move streaming logic to parser
- [Bugfix] Fix FusedMoE weight loading with padded hidden dimensions
- Fix priority preemption regression test in scheduler
- [Kernel] Porting the TRTLLM minimax_allreduce_rms kernels
- [Core][Feature] Observation Plugin for Intercepting & Routing on Activations
- [Bug]: EAGLE3 speculative decoding + multimodal crash under high concurrency
- [Bug] _warmup_prefill_kernels in qwen3_next.py leaks ~3.4 GiB GPU memory despite empty_cache()
- [Model][Quantization] Add GGUF support for MiniMax-M2.1
- [RFC]: [KV Connector]: Support KV push from Prefill to Decode node using Nixl Connector
- [CI] Add persistent cache mounts and fix test download paths
- Docs
- Python not yet supported