84 lines
2.2 KiB
Markdown
84 lines
2.2 KiB
Markdown
|
|
---
|
||
|
|
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.
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## 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.
|