| | --- |
| | license: cc-by-nc-sa-4.0 |
| | datasets: |
| | - tatsu-lab/alpaca |
| | - the_pile |
| | --- |
| | |
| | # Model Card for Cerebras 111M Dollyfied. |
| |
|
| | This is a finetuned model of Cerebras 111M model. using DataBricksLabs Dolly Framework |
| |
|
| | ## Model Details |
| |
|
| | ### Model Description |
| |
|
| | This is a finetuned version of cerebras' 111million paramater model that has been trained to follow instructions. |
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| | It was accomplished using DataBricks Dolly training tools and the alpaca dataset, and was trained for 2 epochs. |
| |
|
| | - **Developed by:** Finetuned by Corianas (me) using open source tools |
| | - **Shared by [optional]:** [More Information Needed] |
| | - **Model type:** [More Information Needed] |
| | - **Language(s) (NLP):** EN |
| | - **License:** cc-by-nc-4.0 |
| | - **Finetuned from model:** https://huggingface.co/cerebras/Cerebras-GPT-111m |
| | - **Finetuned using:** https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html |
| |
|
| | ## Uses |
| |
|
| | This is a simple GPT chatbot that has been finetuned to understand instructions. |
| | Its knowledge about facts about the world is should be considered suspect at best. |
| |
|
| | ### 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] |
| |
|
| | <!-- 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. |
| | FOR THE LOVE OF GOD DO NOT FOLLOW MEDICAL ADVICE FROM THIS. |
| | or financial advice. |
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|
| | [More Information Needed] |
| |
|
| | ## Bias, Risks, and Limitations |
| |
|
| | Limitations... Yes, I am sure there are so so many. |
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|
| | [More Information Needed] |
| |
|
| | ## How to Get Started with the Model |
| |
|
| | Use the code below to get started with the model. |
| |
|
| | [More Information Needed] |
| |
|
| | ## Training Details |
| |
|
| | ### Training Data |
| |
|
| | <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
| |
|
| | [More Information Needed] |
| |
|
| | ### Training Procedure |
| |
|
| | <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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| | #### Preprocessing [optional] |
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| | [More Information Needed] |
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| |
|
| | #### Training Hyperparameters |
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|
| | - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
| |
|
| | #### Speeds, Sizes, Times [optional] |
| |
|
| | <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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| | [More Information Needed] |
| |
|
| | ## Evaluation |
| |
|
| | <!-- This section describes the evaluation protocols and provides the results. --> |
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|
| | ### Testing Data, Factors & Metrics |
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|
| | #### Testing Data |
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|
| | <!-- This should link to a Data Card if possible. --> |
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| | [More Information Needed] |
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|
| | #### Factors |
| |
|
| | <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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|
| | [More Information Needed] |
| |
|
| | #### Metrics |
| |
|
| | <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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|
| | [More Information Needed] |
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| | ### Results |
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|
| | [More Information Needed] |
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| | #### Summary |
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|
| | ## Model Examination [optional] |
| |
|
| | <!-- Relevant interpretability work for the model goes here --> |
| |
|
| | [More Information Needed] |
| |
|
| | ## Environmental Impact |
| |
|
| | <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
| |
|
| | 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). |
| |
|
| | - **Hardware Type:** 8xA100s (accomplished while I was downloading the model I was actually training.) |
| | - **Minutes used:** 7.5 |
| | - **Cloud Provider:** LambdaGPU |
| | - **Compute Region:** USA |
| | - **Carbon Emitted:** [More Information Needed] |
| |
|
| | ## Technical Specifications [optional] |
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|
| | ### Model Architecture and Objective |
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|
| | [More Information Needed] |
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|
| | ### Compute Infrastructure |
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| | [More Information Needed] |
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| | #### Hardware |
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| | [More Information Needed] |
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| | #### Software |
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| | [More Information Needed] |
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| | ## Citation [optional] |
| |
|
| | <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
| |
|
| | **BibTeX:** |
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| | [More Information Needed] |
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| | **APA:** |
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| | [More Information Needed] |
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|
| | ## Glossary [optional] |
| |
|
| | <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
| |
|
| | [More Information Needed] |
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|
| | ## More Information [optional] |
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|
| | [More Information Needed] |
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|
| | ## Model Card Authors [optional] |
| |
|
| | [More Information Needed] |
| |
|
| | ## Model Card Contact |
| |
|
| | [More Information Needed] |
| | # [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_Corianas__111m) |
| |
|
| | | Metric | Value | |
| | |-----------------------|---------------------------| |
| | | Avg. | 24.04 | |
| | | ARC (25-shot) | 19.71 | |
| | | HellaSwag (10-shot) | 26.68 | |
| | | MMLU (5-shot) | 25.28 | |
| | | TruthfulQA (0-shot) | 43.72 | |
| | | Winogrande (5-shot) | 50.2 | |
| | | GSM8K (5-shot) | 0.0 | |
| | | DROP (3-shot) | 2.69 | |
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|
