---
datasets:
- cognitivecomputations/dolphin
- jondurbin/airoboros-2.2.1
- cognitivecomputations/dolphin-coder
- teknium/openhermes
- ise-uiuc/Magicoder-OSS-Instruct-75K
- ise-uiuc/Magicoder-Evol-Instruct-110K
- m-a-p/Code-Feedback
- m-a-p/CodeFeedback-Filtered-Instruction
language:
- en
license: bigcode-openrail-m
---
DolphinCoder StarCoder2 15b 🐬
sponsored by [latitude.sh](https://www.latitude.sh/).
[](https://discord.gg/cognitivecomputations)
Discord: https://discord.gg/cognitivecomputations
This model is based on StarCoder2-15b and is subject to bigcode-openrail-m license.
This Dolphin is *really good* at coding, I trained with a lot of coding data.
This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models
You are responsible for any content you create using this model. Enjoy responsibly.
## Training
It took 3 days to train 3 epochs on 8x H100s using qLoRA and Axolotl
Prompt format:
This model uses ChatML prompt format.
```
<|im_start|>system
You are DolphinCoder, a helpful AI programming assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
Example:
```
<|im_start|>system
You are DolphinCoder, a master at software engineering and coding in any programming language.
<|im_start|>user
Please write me a program in golang that parses all the lines in a file, and reverses them character-wise, and saves it to a new file.
<|im_start|>assistant
```
## Quantized models
- [gguf](https://huggingface.co/dagbs/dolphincoder-starcoder2-15b-GGUF)
- [ExLlamaV2](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2)
## Gratitude
- This model was made possible by the generous sponsorship of [latitude.sh](https://www.latitude.sh/).
- Huge thank you to [BigCode](https://www.bigcode-project.org/) for training and publishing the weights of StarCoder2
- HUGE Thank you to the dataset authors: @ise-uiuc, @teknium, @m-a-p
- And HUGE thanks to @winglian and the Axolotl contributors for making the best training framework!
- [
](https://github.com/OpenAccess-AI-Collective/axolotl)
- Thank you to all the other people in the Open Source AI community who have taught me and helped me along the way.
## Example Output
[If you would like to financially support my efforts](https://ko-fi.com/erichartford)
[swag](https://fa7113.myshopify.com/)