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
- [Frontend] Support for direct url passing to opencv for video
- fix video frame check error
- [Feature]: Default eplb num_redundant_experts to the lowest valid value if unspecified
- [Build] Use pip constraints to pin dependency versions
- Add `moe_align_block_size_no_permute` for small batch size with large num_expert
- custom build backend
- WIP - Paged Eviction
- [Feature][Cleanup]: Unify `vllm.utils.flashinfer` and `vllm.model_executor.layers.quantization.utils.flashinfer_utils`
- [Feature]: Error Logging Redesign
- [Usage]: CPU offload still results in out of VRAM error (Unsloth's DeepSeek R1)
- Docs
- Python not yet supported