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
- [Feature] RIY: Runtime expert pruning for MoE models
- [KV Connector] Canonical KV Cache Allocation for HMA Models
- [Bug] FlashInfer + MTP speculative decoding crashes on SM121 (DGX Spark) with GQA=16 model
- [Bug]: [OOM] DeepSeek-R1 Out of Memory
- Consolidate AWQ quantization into single awq_marlin.py file
- [Bugfix] Add size guard to `make_copy_and_call` and improve tests
- [Feature]: Unify MoE "Oracles" with Class Structure
- [Feature] Add track_token_ids for efficient selective token logprobs tracking
- [UX] Logging - Improve Startup Error Logs
- [Bug]: V1 engine core deadlocks under concurrent load (fp8 + prefix caching + Qwen3.5)
- Docs
- Python not yet supported