![Phi-2 Orange](https://huggingface.co/rhysjones/phi-2-orange-v2/resolve/main/phi-2-orange.jpg) # Phi-2 Orange Version 2 A two-step finetune of Phi-2, with a bit more zest. This is an improved version of the original [Phi-2-Orange](https://huggingface.co/rhysjones/phi-2-orange) that uses an updated training process on the same datasets. It also uses the latest updated model from Microsoft's [Phi-2](https://huggingface.co/microsoft/phi-2), making it directly usable within Hugging Face's Transformers library (without the need for trust remote code). # Prompt Format Phi-2 Orange v2 uses ChatML as the prompt format. (Update 12th March 2024: fixed eos_token issue) It's recommended to always prompt with a system instruction (use whatever system prompt you like): ``` <|im_start|>system You are a helpful assistant for Python which outputs in Markdown format.<|im_end|> <|im_start|>user Write a function to calculate the Fibonacci sequence<|im_end|> <|im_start|>assistant ``` For example, if you find the model's output to be overly verbose, instruct it to be short and concise: ``` <|im_start|>system You are a helpful assistant. Be short and direct in your answers.<|im_end|> <|im_start|>user Was Tom Hanks in the movie Forrest Gump? If so, who did he play and give details of the plot.<|im_end|> <|im_start|>assistant ``` # Evaluations [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rhysjones__phi-2-orange-v2) | Metric |Value| |---------------------------------|----:| |Average |63.67| |AI2 Reasoning Challenge (25-Shot)|61.86| |HellaSwag (10-Shot) |76.32| |MMLU (5-Shot) |55.72| |TruthfulQA (0-shot) |54.84| |Winogrande (5-shot) |75.69| |GSM8k (5-shot) |57.62| [YALL - Yet Another LLM Leaderboard](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard) Evaluation from [mlabonne](https://huggingface.co/mlabonne)'s alternative LLM leaderboard: | Metric |Value| |---------------------------------|----:| |Average |49.64| |AGIEval |34.55| |GPT4All |70.96| |TruthfulQA |54.87| |Bigbench |38.17| # Limitations This model shares the same limitations as the underlying Phi-2 model, details of which are found [here](https://huggingface.co/microsoft/phi-2#limitations-of-phi-2).