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
- [EASY] Drop duplicate KV-cache initialization
- [Frontend] Fixed tool parsing errors for MinimaxM2
- [vLLM IR] add `import_ir_kernels()` to support OOT platforms
- [Bugfix] Fix bench_serve UTF-8 decode crash on split multi-byte chars
- Skip reasoning parsing when using continue_final_message
- [6/n] Migrate some shared CUDA/RoCM kernels to libtorch stable ABI
- [Model Runner V2] Add config validation for not-yet-supported features
- [Bugfix] install failed on macbook(cpu)
- Deprecate `ExpertsInt8Config` (fused int8 moe quantiation) Support
- [GDN] Fused all preprocessing into one kernel for chunked stage
- Docs
- Python not yet supported