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--- |
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license: mit |
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language: |
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base_model: |
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- mattshumer/mistral-8x7b-chat |
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tags: |
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- smarter |
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- code |
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- chemistry |
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- biology |
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- finance |
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- legal |
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- art |
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- moe |
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- merge |
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- text-generation-inference |
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- music |
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- climate |
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- medical |
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- text-generation |
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- safetensors |
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--- |
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# Charm 15 - Ultra-Smart AI Model |
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Charm 15 is an advanced AI model designed for deep reasoning, reinforcement learning, and multimodal AI capabilities. It integrates cutting-edge deep learning techniques to provide safe, intelligent, and scalable solutions. |
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## Features |
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- **Deep Learning & Reinforcement Learning (RLHF)** |
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- **Logic & Deductive Reasoning** |
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- **Mathematical Problem Solving** |
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- **Multimodal AI (Text & Vision)** |
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- **Bias & Safety Mitigation** |
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- **Optimized for Deployment (ONNX, TensorFlow Lite)** |
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## File Structure |
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``` |
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Charm15/ |
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├── models/ |
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│ ├── charm15_base_model.safetensors |
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│ ├── charm15_finetuned_v1.safetensors |
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│ ├── charm15_rlhf_model.pth |
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│ ├── charm15_reasoning.pt |
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│ ├── charm15_math_solver.pth |
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│ ├── charm15_multimodal_model.onnx |
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│ ├── charm15_sentiment_model.pt |
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│ ├── charm15_bias_mitigation.pth |
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│ ├── charm15_redteam_defense.safetensors |
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│ └── charm15_optimized.onnx |
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├── data/ |
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│ ├── charm15_training_data.jsonl |
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│ ├── charm15_synthetic_reasoning.json |
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│ ├── charm15_prompt_tuning.pt |
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├── scripts/ |
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│ ├── finetune_charm15.py |
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│ ├── charm15_api_integration.py |
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│ └── deploy_charm15.py |
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├── docs/ |
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│ ├── charm15_deployment_manual.pdf |
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│ ├── charm15_ethics_guidelines.pdf |
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└── README.md |
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``` |
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## Installation |
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1. Clone the repository: |
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```bash |
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git clone https://huggingface.co/charm15/charm15.git |
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cd charm15 |
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``` |
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2. Install dependencies: |
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```bash |
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pip install torch transformers onnxruntime tensorflow |
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``` |
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3. Load the model: |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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model = AutoModel.from_pretrained("charm15/charm15_base_model") |
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tokenizer = AutoTokenizer.from_pretrained("charm15/charm15_base_model") |
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``` |
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## Usage |
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```python |
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input_text = "Explain the Pythagorean theorem." |
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inputs = tokenizer(input_text, return_tensors="pt") |
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output = model.generate(**inputs) |
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print(tokenizer.decode(output[0], skip_special_tokens=True)) |
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``` |
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## Deployment |
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- **ONNX Runtime:** Optimized for fast inference |
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- **TensorFlow Lite:** For edge and mobile deployment |
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- **API Integration:** Connect with Chatflare or third-party applications |
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## Ethics & Safety |
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Charm 15 includes bias mitigation and safety filters to ensure responsible AI usage. Read the [ethics guidelines](docs/charm15_ethics_guidelines.pdf) for more details. |
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## License |
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Licensed under [Apache 2.0](LICENSE). |
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## Contributors |
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- Chatflare AI Team |
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- Hugging Face Community |
