---
base_model:
- meta-llama/Llama-3.2-1B
---
# meta-llama/Llama-3.2-1B (Quantized)
## Description
This model is a quantized version of the original model `meta-llama/Llama-3.2-1B`. It was quantized using Bitsandbytes.
## Quantization Details
- **Quantization Parameters**: `BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="fp4", bnb_4bit_compute_dtype= "bfloat16")`
## Usage

You can use this model in your applications by loading it directly from the Hugging Face Hub.

In order to run the inference with `Llama-3.2-1B-BNB-FP4-BF16`, `torch` and`bitsandbytes` need to be installed as:
```python
pip install torch bitsandbytes --upgrade
```
Then, preferably the latest version of transformers need to be installed, as:
```python
pip install transformers[accelerate] --upgrade
```
To run the inference the model can be instantiated as any other causal language modeling model via AutoModelForCausalLM and run the inference normally.
```python
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Llama-3.2-1B-BNB-FP4-BF16")