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README.md
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---
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language:
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- en
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- fr
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base_model:
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- mistralai/Mistral-Small-24B-Base-2501
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tags:
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- roleplay
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- deepseek
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- rp
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- r1
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- mistral
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- distill
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---
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# MistralThinker Model Card
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## Model Description
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**Model Name:** MistralThinker\
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**Version:** 1.1
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This model is a specialized variant of **Mistral-Small-24B-Base-2501**, adapted using a **DeepSeek R1** distillation process. It is **primarily designed for roleplay (RP) and storywriting** applications, focusing on character interactions, narrative generation, and creative storytelling. Approximately **40% of the training dataset** consists of roleplay/storywriting/character card data, ensuring rich and contextually immersive outputs in these domains.
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## Model Sources
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- **Base Model:** [Mistral-Small-24B-Base-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Base-2501)
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- **Fine-Tuning Approach:** DeepSeek R1 process (focused on RP)
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- **Dataset Size:** The dataset used in training **doubled** since the last version, adding more neutral logs, training the Base model to stick more on my new format.
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## Intended Use
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- **Primary Use Cases:**
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- **Roleplay (RP):** Engaging with users in fictional or scenario-based interactions.
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- **Storywriting:** Generating narratives, character dialogues, and creative texts.
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- **Character Lore Generation:** Serving as a resource to craft or expand on character backstories and interactions.
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- **How To Use:**
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1. **User-First Message:** The first message in any interaction should come from the user, ensuring the model responds in a narrative or roleplay context guided by user input.
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2. **Contextual Information:** User or assistant details can be placed either in the system prompt or the user's first message. A system prompt is **not mandatory**, but any contextual instructions or role descriptions can help set the stage.
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3. **DeepSeek-Style Interaction:** The model can also be used purely as a **DeepSeek distill** without additional system prompts, providing flexible usage for direct storytelling or roleplay scenarios. The model still can be biased toward Roleplay data, and it is expected.
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## Training Data
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- **DeepSeek R1 Thinking Process:** The model inherits a refined chain-of-thought (thinking process) from DeepSeek R1, which places heavy emphasis on **roleplay** and narrative coherence.
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- **Dataset Composition:**
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- 40%: RP/Storywriting/Character Cards
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- 60%: Various curated data for broad language, math, logical, space... understanding
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- **Data Scaling:** The dataset size was **doubled** compared to previous iterations, which enhances the model’s creative and contextual capabilities.
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## Model Performance
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- **Strengths:**
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- **Storytelling & Roleplay:** Rich in creative generation, character portrayal, and scenario building.
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- **Dialogue & Interaction:** Capable of sustaining engaging and context-driven dialogues.
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- **Adaptability:** Can be used with or without a system prompt to match a range of user preferences.
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- **Limitations & Bias:**
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- **Hallucination:** It can generate fictitious information in the thinking process, but still end up with a succesfull reply.
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- **Thinking can be dismissed:** Being a distillation of DeepSeek R1 is essence, this model, even trained on Base, could forget to add `<think>` in some scenario.
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## Ethical Considerations
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- Yes
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## Usage Recommendations
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1. **System Prompt (Optional):**
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You may provide a high-level system prompt detailing the scenario or the desired style of roleplay and storywriting.
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_Example: "You are a friendly fantasy innkeeper who greets travelers from distant lands."_
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2. **User’s First Message:**
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- Must clearly state or imply the scenario or context if no system prompt is provided.
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_Example: "Hello, I’m a wandering knight seeking shelter. Could you share a story about local legends?"_
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3. **Roleplay & Storywriting Focus:**
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- Encourage the model to develop characters, backstories, and immersive dialogues.
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- For more direct, unfiltered or freeform creativity, skip the system prompt.
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