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. Besides this it is trained on following datasets:
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
