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
- fix: improve token_ids_cpu swap to copy only valid indices
- [Feat] Add vllm eval CLI subcommand integrating lm_eval accuracy and perf benchmarking
- [Bugfix] Fix reasoning token routing with tool parsers: prompt false positive and transition-batch loss
- [torch.compile] Remove attention layer name from unified_kv_cache_update
- [CI/Build] Updated rmsnorm test to improve OOT device coverage
- [main][feature] Support quarot for eagle3
- [Kernel] Add MMQ kernels for all I-Matrix quantization types
- Yejin/fix warmup drain
- [Frontend] Cache system prompt token IDs across requests
- [Bugfix] Fix wrong num_experts in invoke_fused_moe_wna16 kernels
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- Python not yet supported