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
- [Doc]: comprehensive rewrite of disaggregated prefilling (PD) documentation
- [Bug]: prompt is missing in Received request only params not prompts
- [Nixl] Support different head_dim
- [Bug]: can't start b200x2 or b200x4 sm100 with nvidia/Qwen3.5-397B-A17B-NVFP4
- openshift-compatibility
- Clarify model-load OOM hint for GPU memory guidance
- [Engine] Fix engine stalling when async KV offload defers block frees
- [Bugfix][Quantization] Fix PerTensorScale loading with tuple shard_id in MergedColumnParallelLinear
- [Misc][Logger][DP] Enable AggregatedLoggingStatLogger when user specifing aggregate_engine_logging
- [Bug]: Qwen3.5-35B-A3B-FP8 model outputs all exclamation points
- Docs
- Python not yet supported