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 and 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!