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---
license: apache-2.0
datasets:
- the_pile
- guanaco/guanaco
language:
- en
---
# Model Card for Cerebras 1.3b Dollyfied.
This is a finetuned model of Cerebras 1.3b model. using DataBricksLabs Dolly Framework
## Model Details
### Model Description
This is a finetuned version of cerebras' 1.3Billion paramater model that has been trained to follow instructions.
It was accomplished using DataBricks Dolly training tools, 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
If you have a use you put it to, Please let me know.
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
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.
[More Information Needed]
## Bias, Risks, and Limitations
Limitations... Yes, I am sure there are so so many.
## 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:** 17
- **Cloud Provider:** LambdaGPU
- **Compute Region:** USA
- **Carbon Emitted:** [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__Quokka_1.3b)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 27.1 |
| ARC (25-shot) | 27.73 |
| HellaSwag (10-shot) | 37.91 |
| MMLU (5-shot) | 26.66 |
| TruthfulQA (0-shot) | 40.14 |
| Winogrande (5-shot) | 52.72 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 4.54 |
|