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
- [Core] SWA-specific KV cache optimizations for prefix caching
- [Core] Improve KV cache block reuse for prefix caching
- [Roadmap]: PD Disaggregation with `NixlConnector` Roadmap
- Bugfix/issue 30128
- [Draft] Move Harmony encoding to renderer layer and add gRPC render server
- [Usability]: Unify cache gathering kernels (gather_and_maybe_dequant_cache, cp_gather_cache, cp_gather_and_upconvert_fp8_kv_cache)
- [Bug]: HTTP API multimodal embedding causes image_pad token duplication, producing incorrect results
- [XPU][3/N] add int4 gemm support for xpu(awq/gptq)
- [Compile] Add autotune_batch_hint config for dynamic shapes
- [Bug]: The content of response from Kimi-K2.5 is empty.
- Docs
- Python not yet supported