---
license: apache-2.0
base_model: Qwen/Qwen3-0.6B
datasets:
  - metehan777/global-seo-knowledge
tags:
  - seo
  - fine-tuned
  - qwen3
  - gguf
language:
  - en
pipeline_tag: text-generation
library_name: llama.cpp
---

# Qwen3-0.6B SEO Fine-tuned (GGUF)

GGUF versions of [Kelnux/Qwen3-0.6B-seo-finetuned](https://huggingface.co/Kelnux/Qwen3-0.6B-seo-finetuned) for use with llama.cpp, Ollama, LM Studio, etc.

## Available Files

| File | Quantization | Size |
|------|-------------|------|
| Qwen3-0.6B-seo-finetuned-f16.gguf | F16 (full precision) | ~1.1 GB |
| Qwen3-0.6B-seo-finetuned-q8_0.gguf | Q8_0 (8-bit quantized) | ~610 MB |

## Training Details

- **Base model**: Qwen/Qwen3-0.6B
- **Method**: LoRA (r=16, alpha=32)
- **Dataset**: metehan777/global-seo-knowledge (2,065 examples)
- **Final loss**: 1.14
- **Token accuracy**: 79.8%

## Usage

### With llama.cpp
```bash
llama-cli -m Qwen3-0.6B-seo-finetuned-q8_0.gguf -p "What is robots.txt in SEO?" -n 200
```

### With Ollama
```
FROM ./Qwen3-0.6B-seo-finetuned-q8_0.gguf
```

### With LM Studio
Download the GGUF file and load it directly in LM Studio.