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] Fix FP8 MoE double memory allocation for non-gated models
- [Doc] Clarify profiling and benchmarking methodology
- [Model Runner V2] Support thinking_token_budget for mrv2
- [V1][Mamba] Cast copy metadata pointers to int64
- [ROCm][Compile] Fuse RMSNorm + MXFP4 quant via AITER Triton kernels (DeepSeek-R1)
- [Bug]: Gemma 4 12B is not working
- Add ColBERT embedding_mode for asymmetric query/document encoding
- Feature: Adèlic KV-Cache Condensation (O(1) SRAM Topology Router
- Fix MTP structured output grammar after reasoning
- [Frontend] Add OpenAI-compatible online Batch and Files API
- Docs
- Python not yet supported