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
- [wip] fuse rope fp8 through mla_rope_quantize_fp8
- [CI][ROCm] (wip) Fix test_async_scheduing
- suppport pcp & dcp
- [Hybrid] Remove use of PAD_SLOT_ID for causal_conv_1d
- [ROCm][FEAT] Support Decode Context Parallelism for ROCM_AITER_FA Backend
- [Bug]: MemoryError throw by transformers_utils.utils module's parse_safetensors_file_metadata function when loading some gptq or awq quantization models since vllm 0.11.1
- [llama4_eagle] add lm_head attribute to model class
- [RFC]: Sharded Context Parallelism for Deepseek DSA
- [WIP] Mimo v2 flash mtp
- [RFC]: Integrate omni-ai-npu/omni-infer's Topology-Aware Placement and Execution Optimizations into vLLM EPLB
- Docs
- Python not yet supported