metadata
license: apache-2.0
tags:
- alpaca
- gpt4
- gpt-j
- instruction
- finetuning
- lora
- peft
datasets:
- vicgalle/alpaca-gpt4
pipeline_tag: conversational
base_model: EleutherAI/gpt-j-6b
GPT-J 6B model was finetuned on GPT-4 generations of the Alpaca prompts on MonsterAPI's no-code LLM finetuner, using LoRA for ~ 65,000 steps, auto-optmised to run on 1 A6000 GPU with no out of memory issues and without needing me to write any code or setup a GPU server with libraries to run this experiment. The finetuner does it all for us by itself.
Documentation on no-code LLM finetuner: https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm
