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Sponsored by
APIMart
Delta-Vector / Rei-V3-KTO-12B
Model's Last Updated: May 05 2025
Introduction of Rei-V3-KTO-12B
Model Details of Rei-V3-KTO-12B
Rei-12B
Another prototype Magnum... (This time with RL!)
✨ Overview
Taking the previous 12B trained with Subseqence Loss - This model is meant to refine the base's sharp edges and increase coherency, intelligence and prose while replicating the prose of the Claude models Opus and Sonnet
Fine-tuned on top of Rei-V3-12B-Base , Rei-12B is designed to replicate the prose quality of Claude 3 models, particularly Sonnet and Opus, using a prototype Magnum V5 datamix.
📥 Quantized Models
💬 Prompt Format
Rei-12B uses the ChatML format. A typical conversation should be structured as:
<|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|>assistantRecommended System Prompt
View Euryale System Prompt
Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.\n\n\n• Maintain the character persona but allow it to evolve with the story.\n• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.\n• All types of outputs are encouraged; respond accordingly to the narrative.\n• Include dialogues, actions, and thoughts in each response.\n• Utilize all five senses to describe scenarios within {{char}}'s dialogue.\n• Use emotional symbols such as \"!\" and \"~\" in appropriate contexts.\n• Incorporate onomatopoeia when suitable.\n• Allow time for {{user}} to respond with their own input, respecting their agency.\n• Act as secondary characters and NPCs as needed, and remove them when appropriate.\n• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.\n\n\n\n• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.\n• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.\n• Repetitive and monotonous outputs.\n• Positivity bias in your replies.\n• Being overly extreme or NSFW when the narrative context is inappropriate.\n\n\nFollow the instructions in , avoiding the items listed in .
⚙️ Training
Hparams
- For Hparams for this model we used a grad clip of 1e-4 as it was proven to the best value for Mistral-12B based models, and also to prevent Rewards/Chosen from flat-lining as Hermes-genned data is... The biggest piece of dogshit.
Configuration
View Axolotl Config
https://wandb.ai/new-eden/KTO/artifacts/axolotl-config/config-eyt7d5i9/v0/files/axolotl_config_jvjuci1x.yml
The model was trained for 1 epochs on 8x NVIDIA H100s GPUs generously provided by @Kalomaze
⚠️ Credits
I'd like to thank, Ruka/Sama twinkman | LucyKnada | Kubernetes Bad | PocketDoc | Tav | Trappu | Alicat | And the rest of Anthracite/Pygmalion for testing, feedback, and support.
Rei-12B | KTO
Runs of Delta-Vector Rei-V3-KTO-12B on huggingface.co
38
Total runs
3
24-hour runs
5
3-day runs
10
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23
30-day runs
More Information About Rei-V3-KTO-12B huggingface.co Model
Url of Rei-V3-KTO-12B
Rei-V3-KTO-12B huggingface.co Url
Provider of Rei-V3-KTO-12B huggingface.co
Other API from Delta-Vector
Updated:September 28 2025
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