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minihf_evaluator_openllama_7b is a LoRA instruct fine-tune of OpenLLaMA 7B.<|end|> was used to separate the prompt and response. The correct way to prompt the model is: Does 2 + 2 = 4?<|end|>. The tokenizer will prepend a BOS token (<s>) by default. The response will end with an EOS token (</s>).minihf_evaluator_openllama_7b was fine-tuned for 100,000 examples on 90% Muennighoff/flan / 10% databricks/databricks-dolly-15k using batch size 4 per GPU on 8 40GB A100 GPUs. Examples where the prompt and response would not fit into 2,048 tokens were dropped. The fine-tuning was done using the following command:accelerate launch make_evaluator.py --output-dir minihf_evaluator_openllama_7bbitsandbytes quantization config was used during training: