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.
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
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.
