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README.md
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---
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base_model:
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- inference-net/Schematron-3B
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---
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base_model:
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- inference-net/Schematron-3B
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pipeline_tag: text-generation
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tags:
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- open4bits
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---
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# Open4bits / Schematron-3B-GGUF
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This repository provides the **Schematron-3B model converted to GGUF format**, published by Open4bits to enable efficient local inference with reduced memory usage and broad CPU compatibility.
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The underlying base model is **meta-llama/Llama-3.2-3B-Instruct**, fine-tuned by Inference-Net. This repository contains a quantized GGUF conversion of the fine-tuned model weights produced by Open4bits.
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The model is designed for instruction-based text generation tasks and is suitable for resource-constrained and local deployments.
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---
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## Model Overview
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Schematron-3B is an instruction-tuned language model built on the **LLaMA 3.2-3B architecture**. After fine-tuning by Inference-Net for enhanced instruction following and generation quality, the model has been quantized and released in GGUF format to support efficient CPU-friendly inference.
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---
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## Model Details
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* **Base Model:** meta-llama/Llama-3.2-3B-Instruct
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* **Fine-Tuned By:** Inference-Net
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* **Parameters:** ~3 billion
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* **Format:** GGUF (quantized)
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* **Task:** Instruction-based text generation
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* **Weight tying:** Preserved
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* **Compatibility:** GGUF-compatible inference engines and CPU environments
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This quantized release is designed to balance performance and resource efficiency while maintaining strong instruction following capabilities.
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---
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## Intended Use
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This model is intended for:
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* Instruction-guided text generation
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* Local and CPU-based inference workflows
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* Research, prototyping, and experimentation
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* Self-hosted or offline AI systems
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---
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## Limitations
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* Reduced generation quality compared to larger or full-precision variants
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* Performance depends on prompt design and inference parameters
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* Not fine-tuned for highly specialized or domain-specific tasks
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---
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## License
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This model follows the **original LLaMA 3.2 licensing terms** as defined by Meta AI.
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Users must comply with the licensing conditions of the base model and the fine-tuning provider.
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---
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## Support
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If you find this model valuable, please consider supporting the project.
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Your support helps Open4bits continue releasing and maintaining high-quality quantized models for the community.
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