FasterDecoding

 Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads - | --------------------------------------------- | --------------------------------------------------------------------- | | 7B | `python -m medusa.inference.cli --model FasterDecoding/medusa-vicuna-7b-v1.3` | FasterDecoding/medusa-vicuna-33b-v1.3 | | 13B | `python -m medusa.inference.cli --model FasterDecoding/medusa-vicuna-13b-v1.3` | FasterDecoding/medusa-vicuna-13b-v1.3 | | 33B | `python -m medusa.inference.cli --model FasterDecoding/medusa-vicuna-33b-v1.3` | FasterDecoding/medusa-vicuna-33b-v1.3 | Inference We currently support inference in the single GPU and batch size 1 setting, which is the most common setup for local model hosting. We are actively working to extend Medusa's capabilities by integrating it into other inference frameworks, please don't hesitate to reach out if you are interested in contributing to this effort. You can use the following command for lauching a CLI interface: You can also pass `--load-in-8bit` or `--load-in-4bit` to load the base model in quantized format.