---
base_model: unsloth/llama-3-8b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- gguf
---

# LLAMA-3 8B Chat Nuclear Model

- **Developed by:** inetnuc
- **License:** apache-2.0
- **Finetuned from model:** unsloth/llama-3-8b-bnb-4bit

This LLAMA-3 model was finetuned to enhance capabilities in text generation for nuclear-related topics. The training was accelerated using [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library, achieving a 2x faster performance.

## Finetuning Process
The model was finetuned using the Unsloth library, leveraging its efficient training capabilities. The process included the following steps:

1. **Data Preparation**: Loaded and preprocessed nuclear-related data.
2. **Model Loading**: Utilized `unsloth/llama-3-8b-bnb-4bit` as the base model.
3. **LoRA Patching**: Applied LoRA (Low-Rank Adaptation) for efficient training.
4. **Training**: Finetuned the model using Hugging Face's TRL library with optimized hyperparameters.

## Model Details

- **Base Model**: `unsloth/llama-3-8b-bnb-4bit`
- **Language**: English (`en`)
- **License**: Apache-2.0

## Files and Versions

| File Name                        | Description                                      |
|----------------------------------|--------------------------------------------------|
| .gitattributes                   | Initial commit                                   |
| README.md                        | Model description and usage                      |
| adapter_config.json              | Configuration for adapter                        |
| adapter_model.safetensors        | Finetuned model weights                          |
| config.json                      | Configuration for base model                     |
| generation_config.json           | Generation configuration for model               |
| model-00001-of-00007.safetensors | Part of the base model weights                   |
| model-00002-of-00007.safetensors | Part of the base model weights                   |
| model-00003-of-00007.safetensors | Part of the base model weights                   |
| model-00004-of-00007.safetensors | Part of the base model weights                   |
| model-00005-of-00007.safetensors | Part of the base model weights                   |
| model-00006-of-00007.safetensors | Part of the base model weights                   |
| model-00007-of-00007.safetensors | Part of the base model weights                   |
| model.safetensors.index.json     | Index for the model weights                      |
| special_tokens_map.json          | Special tokens mapping                           |
| tokenizer.json                   | Tokenizer data                                   |
| tokenizer_config.json            | Configuration for tokenizer                      |


## Model Card Authors
MUSTAFA UMUT OZBEK

## Contact
https://www.linkedin.com/in/mustafaumutozbek/
https://x.com/m_umut_ozbek


## Usage

### Loading the Model

You can load the model and tokenizer using the following code snippet:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("inetnuc/llama-3-8b-chat-nuclear")
model = AutoModelForCausalLM.from_pretrained("inetnuc/llama-3-8b-chat-nuclear")

# Example of generating text
inputs = tokenizer("what is the iaea approach for cyber security?", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))