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Model: jburnford/dyslexic-writer-qwen3-1.7b Source: Original Platform
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README.md
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README.md
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---
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language: en
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license: apache-2.0
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tags:
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- spelling-correction
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- dyslexia
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- text-correction
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- education
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base_model: Qwen/Qwen3-1.7B
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pipeline_tag: text-generation
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---
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# Dyslexic Writer - Qwen3-1.7B
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Fine-tuned **Qwen/Qwen3-1.7B** for spelling and grammar correction, optimized for dyslexic writers.
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## Performance
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| Metric | Score |
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|--------|-------|
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| Exact Match Accuracy | 82.2% |
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| Error Fix Rate | 75.9% |
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| No-Error Preservation | 98.9% |
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| F1 Score | 98.7% |
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Trained on ~495K examples including word pairs, sentence corrections, and paragraph-level error injection from synthetic stories.
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## Usage
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### With Ollama (GGUF)
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Download the Q4_K_M GGUF and create a Modelfile:
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```
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FROM ./dyslexic-writer-qwen3-1.7b-q4_k_m.gguf
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PARAMETER temperature 0
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PARAMETER num_predict 256
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SYSTEM You are a spelling correction assistant.
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TEMPLATE """<|im_start|>system
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{{ .System }}<|im_end|>
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<|im_start|>user
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{{ .Prompt }}<|im_end|>
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<|im_start|>assistant
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<think>
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</think>
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"""
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```
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### With Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("jburnford/dyslexic-writer-qwen3-1.7b")
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tokenizer = AutoTokenizer.from_pretrained("jburnford/dyslexic-writer-qwen3-1.7b")
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messages = [
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{"role": "system", "content": "You are a spelling correction assistant."},
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{"role": "user", "content": "Fix any spelling mistakes in this text. If there are no mistakes, output the text unchanged.\n\nI went to teh store."},
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]
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True, enable_thinking=False)
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=256, do_sample=False)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## Model Variants
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| Model | GGUF Q4_K_M | Exact Match | Best For |
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|-------|-------------|-------------|----------|
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| [Qwen3-0.6B](https://huggingface.co/jburnford/dyslexic-writer-qwen3-0.6b) | ~460 MB | 78.8% | Mobile/embedded |
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| [Qwen3-1.7B](https://huggingface.co/jburnford/dyslexic-writer-qwen3-1.7b) | ~1.2 GB | 82.2% | Default |
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| [Qwen3-4B](https://huggingface.co/jburnford/dyslexic-writer-qwen3-4b) | ~2.5 GB | 85.6% | Best quality |
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