ishikaa/acquisition_qwen3b_math_format
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kPublished:Apr 3, 2026Architecture:Transformer Cold

The ishikaa/acquisition_qwen3b_math_format is a 3.1 billion parameter language model developed by ishikaa, featuring a context length of 32768 tokens. This model is specifically formatted for mathematical tasks, suggesting an optimization for numerical reasoning and problem-solving. Its primary use case is likely in applications requiring robust mathematical understanding and generation.

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Overview

The ishikaa/acquisition_qwen3b_math_format is a 3.1 billion parameter language model with a substantial context length of 32768 tokens. Developed by ishikaa, this model is distinguished by its specific formatting for mathematical applications, indicating a specialized focus on numerical and logical reasoning tasks.

Key Capabilities

  • Mathematical Formatting: Optimized for processing and generating content in a mathematical context.
  • Large Context Window: Supports up to 32768 tokens, enabling the handling of complex and lengthy mathematical problems or discussions.
  • Compact Size: At 3.1 billion parameters, it offers a relatively efficient footprint for specialized mathematical tasks.

Good for

  • Applications requiring strong mathematical reasoning.
  • Solving complex equations or performing calculations.
  • Generating mathematical proofs or explanations.
  • Educational tools focused on mathematics.