This model uses the Mistral V7 instruction template. Ensure your client is configured correctly to avoid degraded performance.

The space before each assistant message is part of the assistant turn (see Jinja template: ' ' + message['content']), not the user turn. Getting this wrong silently degrades the model rather than breaking it outright.

✅ Chat Completion (recommended): Use your inference server's built-in chat template (llama.cpp, TabbyAPI, vllm, etc.). The space is handled automatically — no manual configuration needed.

⚠️ Text Completion: You must manage spacing manually:

The quantized model files are available for download. Click the buttons below to view the files.

You can download specific model quantizations using the Hugging Face Command Line Interface (CLI). This allows you to select the exact version you need.

Use the command below, replacing "4.5bpw_H6" with the desired model version from the repository's branches.

For the best roleplaying experience, it is highly recommended to use the provided character card and lore book. These files help guide the model's persona and provide rich, in-universe context.

For a seamless setup in SillyTavern, you can download pre-configured sampler presets. These are tuned to provide an optimal balance between creativity and narrative coherence for this model.

Simply download the .json file below and import it into SillyTavern's sampler presets menu.

For the best results, use this structured format. This helps the AI clearly distinguish between actions, inner thoughts, and dialogue.

Standard novel-style formatting is also understood, but this structured format is preferred for clarity.

Click the button below to view a full, unedited chatlog demonstrating the model's narrative style and character portrayal.

This is Version 12.0, in the Animus series. V12.0 is a direct fine-tune of mistralai/Mistral-Large-Instruct-2411.

V12.0's strength comes from a novel dataset designed to teach the model the why behind the lore, not just the what. The training data is a mix of:

The result is a model with exceptionally strong prose and a deep grasp of in-universe lore, making for a highly immersive and accurate roleplaying experience.

Note for roleplay, it follows system prompt and first message, meaning if the first assistant message is short, the following messages will be short.

V12.0 marks a shift from model merging to a focused, direct fine-tuning approach. This allows for greater control over the final model's characteristics.

The V12.0 dataset consists of 6,000 high-quality examples, a combination of two distinct types:

Both datasets underwent a rigorous cleaning process to remove formatting artifacts, such as **scene transitions**, resulting in a cleaner and more natural narrative style.