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--- |
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language: |
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- en |
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- de |
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- fr |
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- it |
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- pt |
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- hi |
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- es |
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- th |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- facebook |
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- meta |
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- pytorch |
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- llama |
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- llama-3 |
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- open4bits |
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license: llama3.2 |
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base_model: |
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- meta-llama/Llama-3.2-1B |
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--- |
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# Open4bits / llama3.2-1b-gguf |
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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. |
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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. |
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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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--- |
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## Model Overview |
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LLaMA (Large Language Model Meta AI) is a family of transformer-based language models developed by Meta AI. |
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This release uses the **3.2 variant with 1 billion parameters**, striking a balance between performance and efficiency. |
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## Model Details |
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* **Architecture:** LLaMA 3.2 |
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* **Parameters:** ~1 billion |
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* **Format:** GGUF (quantized) |
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* **Task:** Text generation, instruction following |
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* **Weight tying:** Preserved |
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* **Compatibility:** GGUF-compatible inference runtimes (CPU-focused) |
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Compared to larger LLaMA variants, this model offers significantly faster inference with lower memory requirements, with proportionally reduced capacity for complex reasoning. |
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--- |
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## Intended Use |
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This model is intended for: |
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* Local text generation and chat applications |
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* CPU-based or low-resource deployments |
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* Research, experimentation, and prototyping |
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* Offline or self-hosted AI systems |
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--- |
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## Limitations |
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* Lower generation quality compared to larger LLaMA 3.2 models |
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* Output quality depends on prompt design and decoding settings |
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* Not fine-tuned for domain-specific or high-precision tasks |
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--- |
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## License |
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This model is released under the **original LLaMA 3.2 license terms** as defined by Meta AI. |
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Users must comply with the licensing conditions of the base LLaMA 3.2-1B model. |
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--- |
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## Support |
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If you find this model useful, please consider supporting the project. |
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Your support helps Open4bits continue releasing and maintaining high-quality open models for the community. |
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