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][Weight Cache] Fingerprint sampled tensor bytes, not headers only
- [Bug]: [Bug]: deepseek_r1 streaming reasoning deltas are not detokenized (byte-level BPE glyphs)
- [Bug]: ~2% output throughput regression on DeepSeek-R1 NVFP4 (DP4 + EP, GB300) from #48247 (AITER custom AG/RS)
- [Metrics] Add delivery counters for the KV event publisher
- [Bugfix][DeepEPv2] Fix ElasticBuffer over-allocated by sp_size× under sequence parallelism
- [MRV2][Spec Decode] Context Aware Sparse LM Head
- [MOE][Quantization] Extend correctness test of `AITER_MXFP4_BF16` MOE backend and temporarily fix correctness issues with Swiglu + no bias code path
- [RFC]: Fast-Track Merging for Model Optimization PRs
- [Bug][SM120] MTP speculative decoding acceptance rate drops to 0% on nightly with native FLASHINFER_MLA_SPARSE_SM120 backend (GLM-5.3-Flash)
- [Bug] DeepEP v2 IMA due to GDAKI context ABI mismatch when using the cu134-nightly image
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- Python not yet supported