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LoneStriker/opus-v1.2-7b-3.0bpw-h6-exl2
opus-v1.2-7b-3.0bpw-h6-exl2 is a text generation model from LoneStriker. Use it when you need the model to write or continue text. It is set up for transformers.
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From the Hugging Face model README
Models for (steerable) story-writing and role-playing. <br/>All Opus V1 models, including quants.
</div>Read the full Opus V1 prompting guide with many (interactive) examples and prompts that you can readily copy.
<details> <summary>The models use an extended version of ChatML.</summary><|im_start|>system
(Story description in the right format here)
(Typically consists of plot description, style description and characters)<|im_end|>
<|im_start|>user
(Your instruction on how the story should continue)<|im_end|>
<|im_start|>text names= Alice
(Continuation of the story from the Alice character)<|im_end|>
<|im_start|>text
(Continuation of the story from no character in particular (pure narration))<|im_end|>
<|im_start|>user
(Your instruction on how the story should continue)<|im_end|>
<|im_start|>text names= Bob
(Continuation of the story from the Bob character)<|im_end|>
The Opus V1 extension is the addition of the text role, and the addition / modification of role names.
Pay attention to the following:
text messages can (but don't have to have) names, names are used to indicate the "active" character during role-play.text role, especially if names are involved.names= {{name[0]}}; {{name[1]}}, beware of the spaces after names= and after the ;. This spacing leads to most natural tokenization for the names.While the main goal for the models is great story-writing and role-playing performance, the models are also capable of several writing related tasks as well as general assistance.
<img src="/dreamgen/opus-v1.2-7b/resolve/main/images/story_writing.webp" alt="story writing" style=" padding: 12px; border-radius: 12px; border: 2px solid #f9a8d4; background: rgb(9, 9, 11); "/>
Here's how you can prompt the model for the following tasks
For story-writing and role-play, I recommend "Min P" based sampling with min_p in the range [0.01, 0.1] and with temperature in the range [0.5, 1.5], depending on your preferences. A good starting point would be min_p=0.1; temperature=0.8.
You may also benefit from setting presence, frequency and repetition penalties, especially at lower temperatures.
The fine-tuning dataset consisted of ~100M tokens of steerable story-writing, role-playing, writing-assistant and general-assistant examples. Each example was up to 31000 tokens long.
All story-writing and role-playing examples were based on human-written text.

The model is should be compatible with any software that supports the base model, but beware of the prompting (see above).
You can try the model for free on dreamgen.com — note that an account is required.
Join the DreamGen community on Discord to get early access to new models.