arabellako22/gifted_maths_unsloth_remerged_full_gemma_4

VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 21, 2026License:gemmaArchitecture:Transformer Featherless Exclusive Cold

The arabellako22/gifted_maths_unsloth_remerged_full_gemma_4 is a 5.1 billion parameter Gemma 4 model, fine-tuned by arabellako22, specifically designed for generating clear, step-by-step mathematics solutions in LaTeX. This model excels at detailed mathematical reasoning and formatting, making it ideal for educational applications and mathematics assistance. It is a full-weight 16-bit merge, built upon unsloth/gemma-4-E2B-it, with a context length of 32768 tokens.

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Overview

The arabellako22/gifted_maths_unsloth_remerged_full_gemma_4 is a 5.1 billion parameter Gemma 4 model, fine-tuned by arabellako22, specifically engineered to provide clear, step-by-step mathematics solutions formatted in LaTeX. This model is a verified 16-bit full-weight merge of the Gifted Maths LoRA adapter with the unsloth/gemma-4-E2B-it base model, offering a robust solution for mathematical reasoning tasks.

Key Capabilities

  • Step-by-step mathematical reasoning: Generates detailed solutions, breaking down complex problems into manageable steps.
  • LaTeX formatting: Outputs all variables, formulas, equations, transformations, and final answers using LaTeX for clear presentation.
  • Educational assistance: Designed to act as a maths_engine for students, ensuring no algebraic steps are skipped.
  • Full-weight model: Provides a complete, merged model for direct inference, serving as the source for verified GGUF releases.

Good for

  • Mathematics-assistant experiments: Ideal for developing and testing AI-powered math tutors or problem solvers.
  • Worked-example generation: Useful for creating educational content that demonstrates problem-solving methodologies.
  • LaTeX-formatting demonstrations: Excellent for showcasing how AI can generate mathematically precise and well-formatted text.
  • Source for GGUF conversions: Serves as the authoritative base for quantized versions, ensuring consistency across formats.