François-PE-Huali 12B

Model banner

Model Information

François-Huali 12B V2

KTO enhanced Dans-Personality-Engine finetune Creative & Refreshing Prose

A sequel! A sequel to my Francois-PE/Huali train, Built ontop of Dans-PE-12B that was finetuned with Light novels, Books, Roleplay logs, to change writing style to be rather short & sweet, Huali uses KTO to increase coherency and prose. The model aims to have a different style of writing/prose then any other NeMo train.

Quantized Versions

Available Downloads

Prompting

Model has been tuned with the ChatML formatting. A typical input would look like this:

"""<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""

System Prompting

I would highly recommend using either Euryale's system prompt or the EVA system prompt with the model.

See Sao10k's Euryale System Prompt
Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.
<Guidelines>
• Maintain the character persona but allow it to evolve with the story.
• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.
• All types of outputs are encouraged; respond accordingly to the narrative.
• Include dialogues, actions, and thoughts in each response.
• Utilize all five senses to describe scenarios within {{char}}'s dialogue.
• Use emotional symbols such as "!" and "~" in appropriate contexts.
• Incorporate onomatopoeia when suitable.
• Allow time for {{user}} to respond with their own input, respecting their agency.
• Act as secondary characters and NPCs as needed, and remove them when appropriate.
• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.
</Guidelines>

<Forbidden> • Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona. • Writing for, speaking, thinking, acting, or replying as {{user}} in your response. • Repetitive and monotonous outputs. • Positivity bias in your replies. • Being overly extreme or NSFW when the narrative context is inappropriate. </Forbidden>

Follow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.

Training

The training was done for 1 epoch using 8 x H200s GPUs graciously provided by Kalomaze for the fine-tuning of the model.

Credits

Thank you to Lucy Knada, Ateron, Alicat, Intervitens, Cgato, Kubernetes Bad and the rest of Anthracite.

Downloads last month
15
Safetensors
Model size
12.2B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Delta-Vector/Francois-PE-V2-Huali-12B

Datasets used to train Delta-Vector/Francois-PE-V2-Huali-12B

Collections including Delta-Vector/Francois-PE-V2-Huali-12B