README.md

---
title: Worth Doing AI
short_description: High-quality GGUF quantizations for local Mac inference
thumbnail: https://cdn-avatars.huggingface.co/v1/production/uploads/69dd63f1bb6154c42dfa1d49/4SVRV_yi-MhH6kz4yAY31.png
---

# Worth Doing AI

We provide **high-quality GGUF quantizations** of the best open-source language models, optimized for **local inference on Apple Silicon Macs**.

## What We Do

We select the best small general-purpose models and quantize them using `llama.cpp` with carefully chosen quantization levels. Every model is tested on Apple Silicon hardware before release.

**Our focus:**
- Best-in-class small models (1.7B to 7B parameters)
- GGUF format compatible with Ollama, LM Studio, and llama.cpp
- Optimized for Apple Silicon (Metal GPU acceleration)
- Multiple quantization levels to fit any hardware

## Available Models

| Model | Parameters | Q4_K_M | Q5_K_M | Q8_0 |
|-------|-----------|--------|--------|------|
| [Qwen2.5-7B-Instruct-GGUF](https://huggingface.co/worthdoing/Qwen2.5-7B-Instruct-GGUF) | 7B | 4.4 GB | 5.1 GB | 7.5 GB |
| [Mistral-7B-Instruct-v0.3-GGUF](https://huggingface.co/worthdoing/Mistral-7B-Instruct-v0.3-GGUF) | 7B | 4.1 GB | 4.8 GB | 7.2 GB |
| [Phi-4-mini-GGUF](https://huggingface.co/worthdoing/Phi-4-mini-GGUF) | 3.8B | 2.3 GB | 2.6 GB | 3.8 GB |
| [Qwen2.5-3B-Instruct-GGUF](https://huggingface.co/worthdoing/Qwen2.5-3B-Instruct-GGUF) | 3B | 1.8 GB | 2.1 GB | 3.1 GB |
| [SmolLM2-1.7B-Instruct-GGUF](https://huggingface.co/worthdoing/SmolLM2-1.7B-Instruct-GGUF) | 1.7B | 1.0 GB | 1.1 GB | 1.7 GB |

## Quantization Levels

| Type | Bits per Weight | Best For |
|------|----------------|----------|
| **Q4_K_M** | ~4.6 bpw | **Recommended** - Best quality/size ratio for everyday use |
| **Q5_K_M** | ~5.3 bpw | Higher quality with minimal size increase |
| **Q8_0** | ~8.0 bpw | Near-original quality for maximum accuracy |

## Quick Start

### Ollama
```bash
# Download a GGUF file, then:
cat > Modelfile <<'EOF'
FROM ./qwen2.5-7b-instruct-Q4_K_M-worthdoing.gguf
EOF
ollama create qwen2.5-7b -f Modelfile
ollama run qwen2.5-7b
```

### llama.cpp
```bash
llama-cli -m qwen2.5-7b-instruct-Q4_K_M-worthdoing.gguf -p "Your prompt" -ngl 99
```

### LM Studio
Download any GGUF file and import it directly into LM Studio.

## Hardware Recommendations

| RAM | Recommended Models |
|-----|-------------------|
| **8 GB** | SmolLM2-1.7B (any quant), Qwen2.5-3B Q4_K_M/Q5_K_M |
| **16 GB** | Any 3-4B model (any quant), 7B models Q4_K_M |
| **32 GB+** | Any model, any quantization |

## About

Worth Doing AI is focused on making high-quality AI accessible for local, private use. All quantizations are performed with `llama.cpp` and verified on Apple Silicon hardware.

**Contact:** admin@worthdoing.ai