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
- [Bugfix][DeepSeekV4] Handle optional scale tensors for W4A16-FP8 artifacts
- fix: avoid ZeroDivisionError in FP8 scaled MM kernels with high TP (closes #43174)
- Validate num_gpu_blocks_override in CacheConfig
- [Bugfix][SM121] Extend TrtLlmFp8ExpertsBase device gate to SM_12x (consumer Blackwell / DGX Spark)
- [Parity with CUDA]: Add top 5-10 popular OSS models into mi355, mi325, mi300 into vLLM nightly performance & accuracy regression testing & dashboard
- [RFC]: Move trainer-side weight transfer logic out of `vllm`
- [Bug]: V1 structured outputs: a malformed grammar request after a valid one crashes EngineCore
- [Core] Improve startup failure diagnostics for early subprocess exits
- [WIP][Model Runner V2][Spec Decode] CUDA graph rejection sampling
- fix: update WNA16 Marlin MoE fake signature
- Docs
- Python not yet supported