Model Card for Cerebras 1.3b Dollyfied.
This is a finetuned model of Cerebras 1.3B model using DataBricksLabs Dolly Framework
Example output:
Instruction: Write a love letter to Edgar Allan Poe.
Edgar Allan Poe is here again, with a brand new treasure of tales for you to enjoy. First, a man's life as a fallen angel, then his lonely falls into the sea, and finally a journey through the wild, exciting lands of the American West. He also carries a mysterious message for us: never stop searching for our own sweet. Thank you, Edgar Allan Poe!
Instruction: Write a tweet announcing Dolly, a large language model from Databricks.
Dolly a brand new model from Databricks that has been thoroughly validated and improved with feedback from experts and users! #databricks #languagemodels #databrickslanguage
Instruction: I'm selling my Nikon D-750, write a short blurb for my ad.
We bring you the revolutionary Nikon D-750 - the perfect camera for any shoot. With the Nikon D-750, you'll be able to achieve stunning images with state-of-the-art features and brilliant images. The Nikon D-750 is the perfect camera for everyday work, and it produces brilliant, vibrant images with spectacular clarity. Whether you’re a professional, a hobbyist, or an enthusiast, the Nikon D-750 is the perfect camera for you. Get yours today!
Instruction: Explain to me the difference between nuclear fission and fusion.
Nuclear fission and fusion are both processes that use nuclear material and energy to generate heat. Fission, which occurs at high enough temperatures, produces either a proton or a neutron with the same energy level. Fusion, on the other hand, relies on a hydrogen atom and is considered to be the most stable process. Nuclear fission and fusion produce different amounts of heat, which is why nuclear fusion can be used to generate heat energy for a variety of applications.
Instruction: Give me a list of 5 science fiction books I should read next.
- The coming of the Red Planet by Guy Adams
- The Hitchhiker's Guide to the Galaxy by Douglas Adams
- Out of the Ashes by Douglas Adams
- The Hitchhiker's Guide to the Galaxy episode "The Ancient of Days"
- Icy Girls by J.R.R. Tolkien
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.
- 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-1.3b
- 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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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: 8xA100
- Hours used: 30mins
- Cloud Provider: Lambda GPU
Technical Specifications [optional]
Model Architecture and Objective
GPT2 Cerebras-GPT 1.3B
Layers 24
n_embd 2048
Heads 16
Hardware
8xA100s
Software
https://github.com/databrickslabs/dolly
Model Card Contact
[More Information Needed]
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 27.02 |
| ARC (25-shot) | 27.3 |
| HellaSwag (10-shot) | 38.3 |
| MMLU (5-shot) | 26.77 |
| TruthfulQA (0-shot) | 39.02 |
| Winogrande (5-shot) | 53.04 |
| GSM8K (5-shot) | 0.15 |
| DROP (3-shot) | 4.57 |
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