Make AI models cheaper, smaller, faster, and greener! Give a thumbs up if you like this model! Read the documentations to know more here Join the Pruna AI community on Discord here to share feedback/suggestions or get help. Results Frequently Asked Questions How does the compression work? The model is compressed with llm int8. How does the model quality change? The quality of the model output might vary compared to the base model. How is the model efficiency evaluated? These results were obtained on NVIDIA A100 PCIE 40GB with configuration described in model/smash config.json and are obtained after a hardware warmup. The smashed model is directly compared to the original base model. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...). We recommend to directly run them in the use case conditions to know if the smashed model can benefit you. What is the model format? We use safetensors. What calibration data has been used? If needed by the compression method, we used WikiText as the calibration data. What is the naming convention for Pruna Huggingface models? We take the original model name and append "turbo", "…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy