Instructions to use Open4bits/Schematron-3B-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Open4bits/Schematron-3B-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Open4bits/Schematron-3B-gguf",
	filename="schematron-3b-q4_0.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Open4bits/Schematron-3B-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Open4bits/Schematron-3B-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Open4bits/Schematron-3B-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Open4bits/Schematron-3B-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Open4bits/Schematron-3B-gguf:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Open4bits/Schematron-3B-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Open4bits/Schematron-3B-gguf:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Open4bits/Schematron-3B-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Open4bits/Schematron-3B-gguf:Q4_K_M

Use Docker

docker model run hf.co/Open4bits/Schematron-3B-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use Open4bits/Schematron-3B-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Open4bits/Schematron-3B-gguf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Open4bits/Schematron-3B-gguf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Open4bits/Schematron-3B-gguf:Q4_K_M

Ollama
How to use Open4bits/Schematron-3B-gguf with Ollama:
```
ollama run hf.co/Open4bits/Schematron-3B-gguf:Q4_K_M
```

Unsloth Studio new

How to use Open4bits/Schematron-3B-gguf with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Open4bits/Schematron-3B-gguf to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Open4bits/Schematron-3B-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Open4bits/Schematron-3B-gguf to start chatting

Docker Model Runner
How to use Open4bits/Schematron-3B-gguf with Docker Model Runner:
```
docker model run hf.co/Open4bits/Schematron-3B-gguf:Q4_K_M
```

Lemonade

How to use Open4bits/Schematron-3B-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Open4bits/Schematron-3B-gguf:Q4_K_M

Run and chat with the model

lemonade run user.Schematron-3B-gguf-Q4_K_M

List all available models

lemonade list

Open4bits / Schematron-3B-GGUF

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.

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.

The model is designed for instruction-based text generation tasks and is suitable for resource-constrained and local deployments.

Model Overview

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.

Model Details

Base Model: meta-llama/Llama-3.2-3B-Instruct
Fine-Tuned By: Inference-Net
Parameters: ~3 billion
Format: GGUF (quantized)
Task: Instruction-based text generation
Weight tying: Preserved
Compatibility: GGUF-compatible inference engines and CPU environments

This quantized release is designed to balance performance and resource efficiency while maintaining strong instruction following capabilities.

Intended Use

This model is intended for:

Instruction-guided text generation
Local and CPU-based inference workflows
Research, prototyping, and experimentation
Self-hosted or offline AI systems

Limitations

Reduced generation quality compared to larger or full-precision variants
Performance depends on prompt design and inference parameters
Not fine-tuned for highly specialized or domain-specific tasks

License

This model follows the original LLaMA 3.2 licensing terms as defined by Meta AI. Users must comply with the licensing conditions of the base model and the fine-tuning provider.

Support

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

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GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

Model tree for Open4bits/Schematron-3B-gguf

Base model

meta-llama/Llama-3.2-3B-Instruct

Finetuned

inference-net/Schematron-3B

Quantized

(9)

this model

Collection including Open4bits/Schematron-3B-gguf

GGUF

Collection

28 items • Updated 21 days ago • 1