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--- |
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license: mit |
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datasets: |
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- Open-Orca/SlimOrca-Dedup |
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- migtissera/Synthia-v1.3 |
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- LDJnr/Verified-Camel |
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- LDJnr/Pure-Dove |
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- LDJnr/Capybara |
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- meta-math/MetaMathQA |
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- Intel/orca_dpo_pairs |
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- argilla/ultrafeedback-binarized-preferences-cleaned |
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widget: |
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- example_title: "Example interaction" |
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text: "Why is the sky blue?" |
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inference: |
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parameters: |
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do_sample: True |
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temperature: 0.1 |
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model-index: |
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- name: phi-2-orange-v2 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 61.86 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 76.32 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 55.72 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 54.84 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 75.69 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 57.62 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
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name: Open LLM Leaderboard |
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--- |
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[Still uploading...] |
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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. |
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[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. |
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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: |
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|Quantization|HellaSwag| |
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|------------|---------| |
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|IQ1_S |32.5% | |
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|IQ2_XXS |56.3% | |
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|IQ2_XS |64.7% | |
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|IQ2_S |67.0% | |
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|Q2_K_S | | |
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|Q2_K |69.2% | |
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|IQ3_XXS | | |
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|IQ3_XS | | |
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|IQ3_S | | |
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|IQ3_M | | |
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|Q3_K_M |73.8% | |
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|IQ4_XS |74.0% | |
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|IQ4_NL |73.6% | |
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|Q4_0 |74.1% | |
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|Q4_K_M |74.4% | |
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|Q5_K_M | | |
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Original model card below. |
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*** |
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![Phi-2 Orange](https://huggingface.co/rhysjones/phi-2-orange-v2/resolve/main/phi-2-orange.jpg) |
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|
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# Phi-2 Orange Version 2 |
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|
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A two-step finetune of Phi-2, with a bit more zest. |
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This is an improved version of the original [Phi-2-Orange](https://huggingface.co/rhysjones/phi-2-orange) that |
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uses an updated training process on the same datasets. |
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It also uses the latest updated model from Microsoft's [Phi-2](https://huggingface.co/microsoft/phi-2), making it directly usable |
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within Hugging Face's Transformers library (without the need for trust remote code). |
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# Prompt Format |
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Phi-2 Orange v2 uses ChatML as the prompt format. |
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(Update 12th March 2024: fixed eos_token issue) |
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It's recommended to always prompt with a system instruction (use whatever system prompt you like): |
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``` |
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<|im_start|>system |
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You are a helpful assistant for Python which outputs in Markdown format.<|im_end|> |
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<|im_start|>user |
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Write a function to calculate the Fibonacci sequence<|im_end|> |
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<|im_start|>assistant |
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``` |
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For example, if you find the model's output to be overly verbose, instruct it to be short and concise: |
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``` |
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<|im_start|>system |
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You are a helpful assistant. Be short and direct in your answers.<|im_end|> |
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<|im_start|>user |
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Was Tom Hanks in the movie Forrest Gump? If so, who did he play and give details of the plot.<|im_end|> |
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<|im_start|>assistant |
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``` |
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# Evaluations |
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[Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rhysjones__phi-2-orange-v2) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Average |63.67| |
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|AI2 Reasoning Challenge (25-Shot)|61.86| |
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|HellaSwag (10-Shot) |76.32| |
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|MMLU (5-Shot) |55.72| |
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|TruthfulQA (0-shot) |54.84| |
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|Winogrande (5-shot) |75.69| |
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|GSM8k (5-shot) |57.62| |
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[YALL - Yet Another LLM Leaderboard](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard) |
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Evaluation from [mlabonne](https://huggingface.co/mlabonne)'s alternative LLM leaderboard: |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Average |49.64| |
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|AGIEval |34.55| |
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|GPT4All |70.96| |
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|TruthfulQA |54.87| |
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|Bigbench |38.17| |
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# Limitations |
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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). |