---
language: en
tags:
- llama
- llama-3.2
- function-calling
- instruction-tuning
- conversational
license: llama2
---

# NeuralTau Functions v1 

This is a full version of the model fine-tuned on the full dataset.
The model is trained to understand and follow complex instructions, providing detailed explanations and performing function-like operations in a conversational manner.

## Model Variants Available
- 16-bit full model
- GGUF Q4_K_M quantized version (recommended for most use cases)
- GGUF Q8_0 quantized version (higher quality, larger size)

## Training Details
- Base Model: unsloth/Llama-3.2-3B-Instruct
- Training Dataset: 0xroyce/NeuralTau-With-Functions-chat 
- Training Method: LoRA fine-tuning with r=16
- Library Used: Unsloth
- Parameters: 3 billion

## Usage

The model follows the Llama chat format. You can interact with it using:

```python
messages = [
    {"role": "user", "content": "Your instruction or question here"},
]
```


Function calling example:
```
>>> how do i do a function for weather? use <tool_call> </tool_call>
<tool_call>
{"arguments": {"location": "Los Angeles", "time_period": "current"}, "name": "get_weather_data"}
</tool_call>
```

## Model Capabilities
- Understanding and following complex instructions
- Providing detailed explanations and analysis
- Breaking down complex topics into understandable components
- Function-like operations and systematic problem-solving
- Maintaining context in multi-turn conversations
- Generating clear and structured responses

## License
This model is subject to the Llama 2 license.