README.md

---
language:
- en
license: cc-by-nc-4.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
base_model: maldv/winter-garden-7b-alpha
datasets:
- maldv/cyberpunk
- microsoft/orca-math-word-problems-200k
- Weyaxi/sci-datasets
- maldv/conversation-cixot
---

# Electric Sheep 7B - α - "The Author"

- **Developed by:** maldv
- **License:** cc-by-nc-4.0
- **Finetuned from model:** maldv/winter-garden-7b-alpha
- **Methodology:** Simple newline delimited, rolling window book and conversation data.

## Will It Write

I spent the first evening after baking this model watching as it wrote page after page, story after story.  The answer is, yes.  It will write, and never stop.  100% story, 0% plot.

It is one of the most beautiful things I've ever seen.  *laughs*

## Data

70% book data, then 10% from each of the other datasets, lora r 64, lr .00007, 2 epochs.  Trained for around 2 days on an a6000; loss fell to .4, but that grad leveled out at around 3 and ground in really nicely.

## Chat Template

It was trained to follow no prompt at all, just to start going.  It can be encouraged by `[WP] Topic\n\n`, and once it gets going an author note doesn't seem to get regurgitated.

If you have to follow a chat template, use the one it shipped with, as that is what the conversation turns were conditioned on.  Format is not super important, but if you use one, then provide a few turns of dialogue to get it rolling.

```python
{{bos_token}}
{% for message in messages %}
  {% if 'name' in message %}{{message['name'] + ('' if 'to' not in message else ' (to ' + message['to'] + ')') + ': ' + message['content'] + '\n\n'}}{% else %}{{message['content'] + '\n\n '}}
{% endif %}
{% endfor %}
```

Which produces results like:

```
Paul (to Jane): The sky is blue.

Jane (to Paul): Yes, it sure is!

```

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="50"/>](https://github.com/unslothai/unsloth)