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
- [ROCm] pad intermediate size for certain unquantized moe model gemma4 to use aiter fused moe for alignment
- [Gemma4] Allow per-layer attention backend selection for heterogeneou…
- [8/n] Migrate merge_attn_states, mamba, sampler to torch stable ABI
- Feat/disk offloading
- [XPU] [CT] Enable CT W4A4MxFp4 path and add xpu kernel
- [P/D][Feature] Support kv_transfer_params for parallel sampling (n>1)
- [Fix] Make handshake timeout configurable
- [ROCm] add head-dim 512 for ROCM_ATTN for gemma4 model support
- [Multimodal] Add attention-score-based image token pruning for Qwen VL models
- [Helion] Add rotary positional embedding (RoPE) Helion kernels (neox + gptj)
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