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