modrill/mhm_arithmetic__merge_experiments_math_think_11_task_arithmetic_lambda_0p40

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:May 21, 2026License:cc-by-nc-4.0Architecture:Transformer Open Weights Warm

The modrill/mhm_arithmetic__merge_experiments_math_think_11_task_arithmetic_lambda_0p40 model is a 4 billion parameter language model with a 32768 token context length. This model is derived from a local merge matrix, indicating its origin from experimental merging processes. Its specific characteristics and primary use cases are not detailed in the provided information, but its name suggests a focus on arithmetic tasks and mathematical reasoning.

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Model Overview

The modrill/mhm_arithmetic__merge_experiments_math_think_11_task_arithmetic_lambda_0p40 is a 4 billion parameter language model with a substantial 32768 token context length. It originates from a local merge matrix, specifically from the /shared/home/yizhan/mhm/merge_experiments/math_think_11/task_arithmetic/lambda_0p40 directory, indicating its development through experimental merging techniques.

Key Characteristics

  • Parameter Count: 4 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.
  • Origin: Developed from a local merge experiment, suggesting it is a composite model resulting from the combination of other models or checkpoints.
  • Naming Convention: The model's name, particularly "arithmetic" and "math_think_11_task_arithmetic," strongly implies an optimization or specialization for mathematical and arithmetic reasoning tasks.

Potential Use Cases

Given its name and experimental origin, this model is likely suitable for:

  • Mathematical Problem Solving: Tasks requiring arithmetic operations, logical deduction in mathematical contexts, and quantitative reasoning.
  • Research in Model Merging: As it stems from a merge experiment, it could be valuable for researchers studying the effects and performance of different model merging strategies.
  • Specialized Arithmetic Applications: Integration into systems that require robust performance on numerical tasks or mathematical understanding.