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] Add package name to vllm setup.py
- [Bug]: DeepSeek-V4-Flash for L20,RuntimeError: Worker failed with error 'AssertionError: auto_functionalized was not removed', please check the stack trace above for the root cause
- [Attention] Support skip-softmax attention (BLASST) through TRTLLM flashinfer backends
- [MoE][Perf] Replace torch.compile pack with fused Triton kernels for FlashInfer routed MoE
- Reapply #42686: [torch.compile] Add patch for fullgraph compilation
- Implement MLA Decode Backend using Helion kernels
- Remove Pydantic v2.11 workaround: simplify Mistral tokenizer tool call handling
- [Feature]: Support DDTree speculative decoding
- Codec: token-native binary transport for /v1/completions + /v1/chat/completions streaming
- RISC-V ILP Optimization: Add instruction-level parallelism for transcendental functions
- Docs
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