COGERPHEREAILABS/meridian-ac-nano
Meridian-AC-Nano is a compact 0.8 billion parameter causal language model developed by COGERPHERE AI Labs, fine-tuned from Qwen3-0.6B. Specialized for academic proofreading, it excels at grammar, spelling, punctuation, LaTeX correction, and academic tone refinement. This model is designed for precise, restrained text refinement in research and academic writing contexts.
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Meridian-AC-Nano: Specialized Academic Proofreading Model
Meridian-AC-Nano, developed by COGERPHERE AI Labs, is a compact (~596M parameter) research proofreading and academic-writing model. It is the flagship model of the MERIDIAN 0.1 research program, fine-tuned from Qwen3-0.6B, and is specifically designed for precise text refinement with a focus on academic integrity.
Key Capabilities
- Research Proofreading: Corrects grammar, spelling, punctuation, and wording while preserving original meaning.
- Grammar Correction: Addresses grammatical and spelling errors in academic texts.
- LaTeX-aware Proofreading: Fixes syntax and formatting errors within LaTeX source code.
- Academic / Research Writing Refinement: Improves academic tone and overall text quality.
- Restrained Text Refinement: Performs minimal, meaning-preserving edits to avoid over-editing.
Performance Highlights
Evaluated on a held-out test set, the model achieved a ROUGE-L score of 0.929 and a BLEU-4 score of 0.8797. Notably, it demonstrated high performance on specific tasks, including 95.24% exact match for LaTeX correction and 91.30% for general proofreading. Training was conducted on a chat-first, multi-task corpus using an Unsloth LoRA pipeline.
Limitations and Intended Use
As a small model, Meridian-AC-Nano is not intended for general-purpose coding, factual knowledge recall, or production medical/legal/financial advice. Its conversational quality is best-effort, and its primary domain is academic and LaTeX-focused proofreading. Users should note the low exact match for open-ended chat tasks (6.06%), which is expected for such responses.