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---
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) |