fusionbase/fusion-guide-12b-0.1
fusionbase/fusion-guide-12b-0.1 is an advanced AI reasoning system developed by fusionbase, built on the Mistral-Nemo 12 billion parameter architecture. It utilizes a unique two-model approach where a "Guide" model generates a step-by-step plan, which is then used by a "Response" model to craft accurate answers. Fine-tuned on a custom dataset of English (90%) and German (10%) task-based prompts, it excels at systematic problem-solving and handling complex or ambiguous situations. This model is optimized for enhanced reasoning by breaking down intricate tasks into structured guidance.
Loading preview...
Model Overview
fusionbase/fusion-guide-12b-0.1 is an advanced AI reasoning system developed by fusionbase, leveraging the Mistral-Nemo 12 billion parameter architecture. Its core innovation lies in a two-model approach:
- A "Guide" model first generates a structured, step-by-step plan for a given task.
- A "Response" model then uses this detailed guidance to formulate an accurate and comprehensive answer.
This methodology significantly enhances the model's problem-solving capabilities, particularly for complex reasoning tasks.
Training and Data
The model is fine-tuned on a custom dataset comprising task-based prompts, with a distribution of 90% English and 10% German. The training data includes scenarios designed to be challenging or even unsolvable, which helps the model develop robustness in handling ambiguous situations. Each training sample follows a prompt => guidance structure, explicitly teaching the model to systematically break down complex tasks.
Key Features & Usage
- Enhanced Reasoning: The two-model system provides a unique approach to complex problem-solving by first generating a plan.
- Multilingual Support: Trained on both English and German data, offering capabilities in both languages.
- Structured Prompting: Requires prompts to be enclosed within
<guidance_prompt>{PROMPT}</guidance_prompt>tags to activate its unique reasoning mechanism. - Compatibility: Can be used with vLLM and other Mistral-Nemo-compatible inference engines, with examples provided for unsloth.
Limitations
The model may occasionally struggle to generate complete guidance, especially when prompts include specific instructions on response structure, a limitation stemming from its training methodology. For a detailed description and evaluation, refer to the fusionbase blog post.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.