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]: DeepSeek-V4-Flash TP on H100: --max-num-batched-tokens >= 24576 crashes EngineCore in fused qnorm/rope/kv-insert op; allocation invisible to memory profiler
- [Bug]: Hybrid block-size alignment is skipped on pipeline-parallel ranks that own no attention layer
- [Quantization] Remove dead `QuantizationConfig.is_mxfp4_quant`
- [Bugfix] Fix NVIDIA DeepSeek V4 mHC warmup
- [Bugfix] Align Qwen GDN gates with speculative tokens
- fix and test EPLB balancedness calculation
- [Model] Add DeepGrove Maple (MapleForCausalLM)
- [Do Not Merge] Enable W4A16 DSA
- [Testing] Fix test_sharded_state_loader
- [Security] Include cache_salt in HF3FS external cache keys
- Docs
- Python not yet supported