---
license: apache-2.0
datasets:
- ajibawa-2023/Code-290k-ShareGPT
- m-a-p/Code-Feedback
language:
- en
tags:
- code
- Python
- C++
- Rust
- Ruby
- Sql
- R
- Julia
---

**Code-Jamba-v0.1**

This model is trained upon my dataset [Code-290k-ShareGPT](https://huggingface.co/datasets/ajibawa-2023/Code-290k-ShareGPT) and [Code-Feedback](https://huggingface.co/datasets/m-a-p/Code-Feedback). It is finetuned on Jamba-v0.1 .
It is very very good in Code generation in various languages such as **Python, Java, JavaScript, GO, C++, Rust, Ruby, Sql, MySql, R, Julia, Haskell**, etc..
This model will also generate detailed explanation/logic behind each code. 
This model uses ChatML prompt format.

**Training**

Entire dataset was trained on **2 x H100** 94GB. For 3 epoch, training took **162 hours**. Axolotl along with DeepSpeed codebase was used for training purpose. This was trained on Jamba-v0.1 by AI21Labs.

This is a qlora model. Links for quantized models will be updated very soon.

**GPTQ, GGUF, AWQ & Exllama**

GPTQ: TBA

GGUF: TBA

AWQ: TBA

Exllama v2: TBA


**Example Prompt:**

This model uses **ChatML** prompt format.

```
<|im_start|>system
You are a Helpful 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**

Coming soon!