--- license: mit datasets: - Open-Orca/SlimOrca-Dedup - migtissera/Synthia-v1.3 - LDJnr/Verified-Camel - LDJnr/Pure-Dove - LDJnr/Capybara - meta-math/MetaMathQA - Intel/orca_dpo_pairs - argilla/ultrafeedback-binarized-preferences-cleaned widget: - example_title: "Example interaction" text: "Why is the sky blue?" inference: parameters: do_sample: True temperature: 0.1 model-index: - name: phi-2-orange-v2 results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 61.86 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 76.32 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 55.72 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 54.84 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 75.69 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 57.62 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 name: Open LLM Leaderboard --- This is [rhysjones/phi-2-orange-v2](https://huggingface.co/rhysjones/phi-2-orange-v2), quantized with the help of an importance matrix so it could offer better performance for being quantized, and have quantization levels available for lower-memory devices to run. [Kalomaze's "groups_merged.txt"](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) was used for the importance matrix, with context set to 2,048. Here's a chart that provides an approximation of the HellaSwag score (out of 1,000 tasks). Thanks to the randomization of tasks, it may be slightly unprecise: |Quantization|HellaSwag| |------------|---------| |IQ1_S |32.5% | |IQ2_XXS |56.3% | |IQ2_XS |64.7% | |IQ2_S |67.0% | |IQ2_M |69.1% | |Q2_K_S |65.3% | |Q2_K |69.2% | |IQ3_XXS |Untested | |IQ3_XS |Untested | |IQ3_S |Untested | |IQ3_M |Untested | |Q3_K_M |73.8% | |IQ4_XS |74.0% | |IQ4_NL |73.6% | |Q4_0 |74.1% | |Q4_K_M |74.4% | |Q5_K_M |Untested | Original model card below. *** ![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).