vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bug]: tokenizing long redundant sequences causes API server deadlock (harmony and others)
- [Kernel] Add Triton reference implementation of NVFP4 GEMM
- feat: Added Dockerfile for ppc64le CUDA build
- [Perf][GDN] Fuse kkt + solve_tril kernels in chunk forward
- Turbo Quant
- [Core] Add score encoder cache manager
- [Quantization] Add TurboQuant dynamic kv cache compression
- Hybrid KV offload: planner, MultiConnector, and mamba alignment for hybrid models
- [Bug]: Marlin MoE kernel fails with MXFP4-quantized GPT-OSS 20B - Invalid thread config for non-aligned dimensions (K=2880, N=2880)
- [Bug]: ImportError: flash_attn.ops.triton.rotary not found on older versions (< v2.1.2)
- Docs
- Python not yet supported