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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+# CardProjector-24B-v1
+
+## Overview
+
+CardProjector-24B-v1 is a specialized language model derived from Mistral Small, fine-tuned to generate character cards for **SillyTavern** in the **chara_card_v2** specification. This model is designed to assist creators and roleplayers by automating the process of crafting detailed and well-structured character cards, ensuring compatibility with SillyTavern's format.
+
+Whether you're creating NPCs for storytelling, roleplaying games, or interactive fiction, CardProjector-24B-v1 streamlines the workflow while maintaining high-quality outputs tailored to your needs.
+
+---
+
+## Key Features
+
+- **Specialized Output Format**: Generates character cards strictly adhering to the `chara_card_v2` JSON schema used by SillyTavern.
+- **Rich Character Details**: Produces comprehensive profiles including personality traits, appearance descriptions, example dialogues, and scenario setups.
+- **Customizable Inputs**: Allows users to provide prompts, themes, or specific attributes to guide the generation process.
+- **High-Quality Writing**: Leverages Mistral Small’s robust linguistic capabilities to ensure engaging, coherent, and creative writing.
+- **Roleplay-Friendly**: Optimized for use in collaborative storytelling environments like SillyTavern.
+
+---
+
+## Use Cases
+
+- **Storytelling & Worldbuilding**: Quickly populate your fictional worlds with diverse characters.
+- **Interactive Fiction**: Create dynamic NPCs for text-based adventures or chat-based roleplaying platforms.
+- **Game Development**: Generate placeholder or fully fleshed-out characters for game prototypes.
+- **Creative Writing Assistance**: Overcome writer’s block by generating unique character ideas and backstories.
+
+---
+
+## Getting Started
+
+### Prerequisites
+
+- Python 3.8+
+- Libraries: `transformers`, `torch`, `json`
+- Access to the pre-trained weights of CardProjector-24B-v1 (contact the maintainers for access).
+
+### Installation
+
+```bash
+pip install transformers torch
+```
+
+### Usage Example
+
+Here’s how you can generate a character card using CardProjector-24B-v1:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import json
+
+# Load the model and tokenizer
+model_name = "path_to_CardProjector-24B-v1"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Define input prompt
+prompt = """
+Create a character card for a wise old wizard who lives in a forest. 
+He is kind but mysterious, often speaking in riddles. His name is Eldrin.
+"""
+
+# Tokenize and generate
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=512)
+
+# Decode and parse output as JSON
+output_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+character_card = json.loads(output_text)
+
+# Save to file
+with open("eldrin_character_card.json", "w") as f:
+    json.dump(character_card, f, indent=4)
+
+print("Character card saved to eldrin_character_card.json")
+```
+
+### Sample Output (`chara_card_v2` Schema)
+
+```json
+{
+  "name": "Eldrin",
+  "description": "A wise old wizard residing deep within an ancient forest. Known for his kindness and cryptic wisdom.",
+  "personality": "Kind-hearted yet enigmatic, Eldrin enjoys testing others' wit through riddles and puzzles.",
+  "scenario": "You find yourself lost in the dense woods when suddenly, a faint glow reveals a small cottage ahead...",
+  "example_dialogue": [
+    {"speaker": "You", "message": "Can you help me find my way out of this forest?"},
+    {"speaker": "Eldrin", "message": "Ah, the path is not always where it seems. Tell me first—what walks on four legs at dawn?"}
+  ],
+  "metadata": {
+    "version": "chara_card_v2",
+    "tags": ["wizard", "forest", "riddle", "kind"]
+  }
+}
+```
+
+---
+
+## Fine-Tuning & Customization
+
+If you'd like to further fine-tune CardProjector-24B-v1 for niche genres or specific styles, follow these steps:
+
+1. Prepare a dataset of character cards in the `chara_card_v2` format.
+2. Use Hugging Face’s `Trainer` API to fine-tune the model.
+3. Evaluate the updated model for consistency and creativity.
+
+For more details, refer to the [Hugging Face Documentation](https://huggingface.co/docs/transformers/training).
+
+---
+
+## Limitations
+
+- **Input Sensitivity**: The quality of generated cards depends heavily on the clarity and specificity of the input prompt.
+- **Token Limitations**: Very long prompts may exceed the model’s context window, leading to truncated outputs.
+- **Ethical Considerations**: Ensure that generated content aligns with ethical guidelines, avoiding harmful stereotypes or inappropriate material.
+
+---
+
+## Contributing
+
+Contributions are welcome! If you have suggestions, bug reports, or feature requests, please open an issue on our GitHub repository.
+
+---
+
+## License
+
+CardProjector-24B-v1 is released under the MIT License. See the [LICENSE](LICENSE) file for more information.
+
+---
+
+## Acknowledgments
+
+- Built upon the foundational work of Mistral AI and their Mistral Small model.
+- Inspired by the vibrant communities around SillyTavern and interactive storytelling.
+
+---
+
+For questions or support, contact us at [[email protected]].