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
- [WIP] Fp8 marlin grouped
- [Feature]: 4D Attention Mask
- [Performance]: Multi-node Pipeline Parallel double bandwidth, no change in performance
- [Feature]: LLM2Vec (Fine-Tuned Embeddings) Support
- [Bug]: Intel GPU Test failing in CI
- [Feature]: Implementation of Sliding Window Attention for Full Context Support with Gemma-2
- [Bugfix][Core] Output sampling: heuristic to choose between candidates
- [Usage]:Can vllm use a method similar to device_map in transformers ?
- [Bug]: Error when loading mistral and gemma model using VLLM docker
- [Usage]: Can't utilize all VRAM for context
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- Python not yet supported