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
- [Bug]: /pause clears SHM multimodal cache, can cause fatal ValueError for queued requests
- [Bugfix][Frontend] Preserve HTTP error response headers
- [RFC]: Request-scoped auxiliary decision heads on a shared generative backbone
- [Bug]: Qwen3.6-35B-A3B NVFP4 on Jetson AGX Thor (sm_110): illegal memory access in GDN `_warmup_prefill_kernels` on cold-cache boots (3 of 4); warm caches 0 of 3
- fix(moe): report reason for CUTLASS FP8 backend rejection
- [Doc]: Out-of-tree quantization plugin guide uses the removed FusedMoE class and an outdated MoE method API
- [Docs][KV Connector] Diagnose CUDA IPC latency after cache reuse
- [Bugfix][kv-events] Making partial blocks emit all tail hashes
- [Bugfix] Respect max_model_len for Clef SystemOne reads
- [RFC]: Add Single-Process In-Memory Engine Mode for Low-Tier Sandbox Environments (Colab T4 / Jupyter)
- Docs
- Python not yet supported