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--- |
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license: apache-2.0 |
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datasets: |
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- the_pile |
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- guanaco/guanaco |
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language: |
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- en |
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--- |
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# Model Card for Cerebras 1.3b Dollyfied. |
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This is a finetuned model of Cerebras 1.3b model. using DataBricksLabs Dolly Framework |
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## Model Details |
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### Model Description |
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This is a finetuned version of cerebras' 1.3Billion paramater model that has been trained to follow instructions. |
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It was accomplished using DataBricks Dolly training tools, and was trained for 2 epochs. |
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- **Developed by:** Finetuned by Corianas (me) using open source tools |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** [More Information Needed] |
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- **Language(s) (NLP):** EN |
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- **License:** cc-by-nc-4.0 |
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- **Finetuned from model:** https://huggingface.co/cerebras/Cerebras-GPT-111m |
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- **Finetuned using:** https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html |
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## Uses |
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This is a simple GPT chatbot that has been finetuned to understand instructions. |
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Its knowledge about facts about the world is should be considered suspect at best. |
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### Direct Use |
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If you have a use you put it to, Please let me know. |
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[More Information Needed] |
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### Downstream Use [optional] |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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Any form of use where any form of accuracy is needed. |
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FOR THE LOVE OF GOD DO NOT FOLLOW MEDICAL ADVICE FROM THIS. |
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or financial advice. |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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Limitations... Yes, I am sure there are so so many. |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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- **Hardware Type:** 8xA100s (accomplished while I was downloading the model I was actually training.) |
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- **Minutes used:** 17 |
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- **Cloud Provider:** LambdaGPU |
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- **Compute Region:** USA |
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- **Carbon Emitted:** [More Information Needed] |
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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_Corianas__Quokka_1.3b) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 27.1 | |
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| ARC (25-shot) | 27.73 | |
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| HellaSwag (10-shot) | 37.91 | |
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| MMLU (5-shot) | 26.66 | |
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| TruthfulQA (0-shot) | 40.14 | |
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| Winogrande (5-shot) | 52.72 | |
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| GSM8K (5-shot) | 0.0 | |
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| DROP (3-shot) | 4.54 | |
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