metadata

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]

[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

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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

Detailed results can be found here

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