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---
license: apache-2.0
datasets:
- ajibawa-2023/Code-290k-ShareGPT
- m-a-p/Code-Feedback
- microsoft/orca-math-word-problems-200k
- teknium/openhermes
language:
- en
tags:
- code
- mathematics
---
**Code-Mistral-7B**
This Model is trained on refined version of my dataset [Code-290k-ShareGPT](https://huggingface.co/datasets/ajibawa-2023/Code-290k-ShareGPT).
Besides this it is trained on following datasets:
[Code-Feedback](https://huggingface.co/datasets/m-a-p/Code-Feedback)
[orca-math-word-problems-200k](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k)
[Openhermes](https://huggingface.co/datasets/teknium/openhermes)
The idea was to check how this Model will perform with both Code & Maths datasets. This model is very good with Coding.
Maths is still hit & miss but you can test out this model.
This Model is trained on massive datasets so the results are very good.
I have used ChatML prompt format.
Kindly note this is qLoRA version, a rare exception.
**Training:**
Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took almost 33 Hours. Axolotl codebase was used for training purpose.
Entire data is trained on Mistral.
**Example Prompt:**
This model uses **ChatML** prompt format.
```
<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
You can modify above Prompt as per your requirement.
I want to say special Thanks to the Open Source community for helping & guiding me to better understand the AI/Model development.
Thank you for your love & support.
**Example Output**
**C++**
**Error Resolving**
**Matrices**
**Machine Learning**
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