benzlokzik/qwen3-0.6B-grammar
The benzlokzik/qwen3-0.6B-grammar model is a 0.8 billion parameter Qwen3-based language model, fine-tuned by benzlokzik. It specializes as a bilingual (Russian/English) text normalizer, designed to correct typos, grammar, and punctuation while preserving the original meaning, tone, and slang. This model is primarily used for cleaning up casual chat and informal text.
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Model Overview
The benzlokzik/qwen3-0.6B-grammar is a specialized language model built upon the Qwen3-0.6B architecture, fine-tuned by benzlokzik. With 0.8 billion parameters and a context length of 32768 tokens, its core function is to act as a bilingual (Russian/English) text normalizer.
Key Capabilities
- Grammar and Typo Correction: Automatically identifies and fixes grammatical errors and spelling mistakes.
- Punctuation Normalization: Corrects and standardizes punctuation usage.
- Style Preservation: Maintains the original meaning, tone, and even slang of the input text, making it suitable for informal communication.
- Bilingual Support: Processes and normalizes text in both Russian and English.
Usage and Application
This model is particularly effective for cleaning up casual chat, social media posts, or any informal text where grammar and punctuation might be inconsistent but the original intent and style need to be preserved. Users can interact with the model by providing text in the format: user: "Fix the text: <dirty text>", and the model will return the cleaned version.
Licensing
The fine-tuned weights of this model are distributed under the CC BY-NC-SA 4.0 license, which permits non-commercial use with share-alike conditions. Commercial licensing requires direct contact with the author. The base model, Qwen/Qwen3-0.6B, operates under an Apache 2.0 license.