Advantageous-tune Google Gemma with Unsloth and Distilled DPO on Your Laptop

[ad_1] Following Hugging Face’s Zephyr recipe Generated with DALL-E Discovering good coaching hyperparameters for brand spanking new LLMs is at all times troublesome and time-consuming. With Zephyr Gemma 7B, Hugging Face appears to have discovered a very good recipe for fine-tuning Gemma. They used a mixture of distilled supervised fine-tuning and DPO much like what… Continua a leggere Advantageous-tune Google Gemma with Unsloth and Distilled DPO on Your Laptop

QLoRA — The best way to Fantastic-Tune an LLM on a Single GPU | by Shaw Talebi | Feb, 2024

[ad_1] Imports We import modules from Hugging Face’s transforms, peft, and datasets libraries. from transformers import AutoModelForCausalLM, AutoTokenizer, pipelinefrom peft import prepare_model_for_kbit_trainingfrom peft import LoraConfig, get_peft_modelfrom datasets import load_datasetimport transformers Moreover, we want the next dependencies put in for among the earlier modules to work. !pip set up auto-gptq!pip set up optimum!pip set up bitsandbytes… Continua a leggere QLoRA — The best way to Fantastic-Tune an LLM on a Single GPU | by Shaw Talebi | Feb, 2024