We finetuned Open Llama 7B on Code-Alpaca-Instruct Dataset (ewof/code-alpaca-instruct-unfiltered) for 3 epochs using MonsterAPI no-code LLM finetuner.
This dataset is HuggingFaceH4/CodeAlpaca_20K unfiltered, removing 36 instances of blatant alignment.
The finetuning session got completed in 75 minutes and costed us only $3 for the entire finetuning run!
Loss metrics:
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from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_7b") model = PeftModel.from_pretrained(base_model, "gvij/open-llama-7b-code-alpaca-instruct")