---
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
library_name: transformers
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- open4bits
license: llama3.2
base_model:
- meta-llama/Llama-3.2-1B
---
# Open4bits / llama3.2-1b-gguf

This repository provides the **LLaMA 3.2-1B model converted to GGUF format**, published by Open4bits to enable highly efficient local inference with reduced memory usage and broad CPU compatibility.

The underlying LLaMA 3.2 model and architecture are **owned by Meta AI**. This repository contains only a quantized GGUF conversion of the original model weights.

The model is designed for fast, lightweight text generation and instruction-following tasks and is well suited for resource-constrained environments.

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## Model Overview

LLaMA (Large Language Model Meta AI) is a family of transformer-based language models developed by Meta AI.
This release uses the **3.2 variant with 1 billion parameters**, striking a balance between performance and efficiency.

---

## Model Details

* **Architecture:** LLaMA 3.2
* **Parameters:** ~1 billion
* **Format:** GGUF (quantized)
* **Task:** Text generation, instruction following
* **Weight tying:** Preserved
* **Compatibility:** GGUF-compatible inference runtimes (CPU-focused)

Compared to larger LLaMA variants, this model offers significantly faster inference with lower memory requirements, with proportionally reduced capacity for complex reasoning.

---

## Intended Use

This model is intended for:

* Local text generation and chat applications
* CPU-based or low-resource deployments
* Research, experimentation, and prototyping
* Offline or self-hosted AI systems

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## Limitations

* Lower generation quality compared to larger LLaMA 3.2 models
* Output quality depends on prompt design and decoding settings
* Not fine-tuned for domain-specific or high-precision tasks

---

## License

This model is released under the **original LLaMA 3.2 license terms** as defined by Meta AI.
Users must comply with the licensing conditions of the base LLaMA 3.2-1B model.

---

## Support

If you find this model useful, please consider supporting the project.
Your support helps Open4bits continue releasing and maintaining high-quality open models for the community.