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
- Add encoder cache computation time tracking for replacement algorithm design
- [Feature] Add num_steps and delay_steps parameters to /start_profile endpoint
- [Spec Decode] Finite state machine speculative decoding
- [MIX] More accurate processing of quantization of `mlp.gate`
- [Bug]: MTP speculative decoding produces corrupted output at concurrency >= 4 (V1 engine)
- [Perf] flashinfer gdn decode kernel intergration
- [torch.compile]: Optimize collectives in TP MoE case using torch.compile pass
- TRTLLM gen-full attn spec decode & FP8 KV dequant tests
- [Spec Decode] Remove unnecessary all reduce for dense draft model on dp setting
- Fixing matcher to enable the 2-node-tests-4-gpus-in-total on MI355
- Docs
- Python not yet supported