README.md

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language:
- en
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# KobbleSmall-2B
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This is a finetune of Gemma2-2B trained on a subset of the Kobble Dataset. 
Training was done in under 3 hours on a single NVIDIA T4 GPU with qLora (LR 1.5e-4, rank 16, alpha 16, batch size 2, gradient acc. 4, 2048 ctx). 

You can obtain the GGUF quantization of this model here: https://huggingface.co/concedo/KobbleSmall-2B-GGUF


## Dataset and Objectives

The Kobble Dataset is a semi-private aggregated dataset made from multiple online sources and web scrapes. 
It contains content chosen and formatted specifically to work with KoboldAI software and Kobold Lite.

#### Dataset Categories:
- Instruct: Single turn instruct examples presented in the Alpaca format, with an emphasis on uncensored and unrestricted responses.
- Chat: Two participant roleplay conversation logs in a multi-turn raw chat format that KoboldAI uses.
- Story: Unstructured fiction excerpts, including literature containing various erotic and provocative content.

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## Prompt template: Alpaca

```
### Instruction:
{prompt}

### Response:
```

<!-- prompt-template end -->

**Note:** *No assurances will be provided about the **origins, safety, or copyright status** of this model, or of **any content** within the Kobble dataset.*  
*If you belong to a country or organization that has strict AI laws or restrictions against unlabelled or unrestricted content, you are advised not to use this model.*