---
license: mit
language:
- aa
- ab
- ae
- af
- ak
- am
- an
- ar
- as
- av
- ay
- az
- ba
- be
- bg
- bh
- bi
- bm
- bn
- bo
- br
- bs
- ca
- ce
- ch
- co
- cr
- cs
- cu
- cv
- cy
- da
- de
- dv
- dz
- ee
- el
- en
- eo
- es
- et
- eu
- fa
- ff
- fi
- fj
- fo
- fr
- fy
- ga
- gd
- gl
- gn
- gu
- gv
- ha
- he
- hi
- ho
- hr
- ht
- hu
- hy
- hz
- ia
- id
- ie
- ig
- ii
- ik
- is
- io
- ja
- iu
- it
- kg
- ka
- jv
- kj
- kl
- ki
- km
- ko
- kk
- kr
- ku
- kn
- kv
- ky
- ks
- la
- lg
- kw
- li
- lo
- lb
- lt
- lv
- ln
- mg
- mi
- lu
- mk
- ml
- mr
- mh
- ms
- my
- mn
- na
- nd
- mt
- ne
- nl
- tl
base_model:
- meta-llama/Llama-3.3-70B-Instruct
tags:
- smarter
- code
- chemistry
- biology
- finance
- legal
- art
- moe
- merge
- text-generation-inference
- music
- climate
- medical
- text-generation
- safetensors
---
# Charm 15 - Ultra-Smart AI Model

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.

## Features
- **Deep Learning & Reinforcement Learning (RLHF)**
- **Logic & Deductive Reasoning**
- **Mathematical Problem Solving**
- **Multimodal AI (Text & Vision)**
- **Bias & Safety Mitigation**
- **Optimized for Deployment (ONNX, TensorFlow Lite)**

## File Structure

```
Charm15/
├── models/
│   ├── charm15_base_model.safetensors
│   ├── charm15_finetuned_v1.safetensors
│   ├── charm15_rlhf_model.pth
│   ├── charm15_reasoning.pt
│   ├── charm15_math_solver.pth
│   ├── charm15_multimodal_model.onnx
│   ├── charm15_sentiment_model.pt
│   ├── charm15_bias_mitigation.pth
│   ├── charm15_redteam_defense.safetensors
│   └── charm15_optimized.onnx
├── data/
│   ├── charm15_training_data.jsonl
│   ├── charm15_synthetic_reasoning.json
│   ├── charm15_prompt_tuning.pt
├── scripts/
│   ├── finetune_charm15.py
│   ├── charm15_api_integration.py
│   └── deploy_charm15.py
├── docs/
│   ├── charm15_deployment_manual.pdf
│   ├── charm15_ethics_guidelines.pdf
└── README.md
```

## Installation
1. Clone the repository:
   ```bash
   git clone https://huggingface.co/charm15/charm15.git
   cd charm15
   ```
2. Install dependencies:
   ```bash
   pip install torch transformers onnxruntime tensorflow
   ```
3. Load the model:
   ```python
   from transformers import AutoModel, AutoTokenizer
   model = AutoModel.from_pretrained("charm15/charm15_base_model")
   tokenizer = AutoTokenizer.from_pretrained("charm15/charm15_base_model")
   ```

## Usage
```python
input_text = "Explain the Pythagorean theorem."
inputs = tokenizer(input_text, return_tensors="pt")
output = model.generate(**inputs)
print(tokenizer.decode(output[0], skip_special_tokens=True))
```

## Deployment
- **ONNX Runtime:** Optimized for fast inference
- **TensorFlow Lite:** For edge and mobile deployment
- **API Integration:** Connect with Chatflare or third-party applications

## Ethics & Safety
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.

## License
Licensed under [Apache 2.0](LICENSE).

## Contributors
- Chatflare AI Team
- Hugging Face Community