MegaScience-Qwen-GGUF

MegaScience-Qwen-GGUF

MegaScience-Qwen models are a series of large language models based on the Qwen3 and Qwen2.5 architectures, meticulously fine-tuned on the MegaScience dataset to advance scientific reasoning in AI. This dataset blends over 1.25 million high-quality, university-level scientific questions and answers sourced from open textbooks and diverse scientific benchmarks, covering seven scientific disciplines. The MegaScience-Qwen lineup includes variants from smaller Qwen2.5-1.5B up to Qwen3-30B, with models such as Qwen3-4B-MegaScience, Qwen3-8B-MegaScience, and Qwen3-14B-MegaScience, each showing pronounced gains over their official instruction-tuned counterparts—especially as model scale increases. These models demonstrate state-of-the-art or leading performance on scientific reasoning, general knowledge, and mathematical benchmarks, achieving not only higher accuracy but also more concise and efficient responses. The MegaScience project also provides a rigorous evaluation system, an open-source curation pipeline, and all model checkpoints, empowering further research and application in scientific AI reasoning and education.

MegaScience Qwen Models (GGUF Format)

Model Files

Qwen3-8B-MegaScience

Qwen3-4B-MegaScience

Qwen3-1.7B-MegaScience

Qwen2.5-3B-MegaScience

Qwen2.5-1.5B-MegaScience

Qwen2.5-7B-MegaScience

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):