modrill/mhm_ties__merge_experiments_math_think_11_ties_density_0p10

TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 21, 2026License:cc-by-nc-4.0Architecture:Transformer Open Weights Cold

The modrill/mhm_ties__merge_experiments_math_think_11_ties_density_0p10 model is a 4 billion parameter language model. This model is derived from a local merge matrix, specifically from the 'math_think_11' merge experiment with a TIES density of 0.10. It is designed for general language tasks, leveraging its merged architecture for broad applicability.

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Model Overview

The modrill/mhm_ties__merge_experiments_math_think_11_ties_density_0p10 is a 4 billion parameter language model. It originates from a local merge matrix within the modrill project, specifically from the math_think_11 merge experiment. This model utilizes a TIES (Trimmed, Iterative, and Selective) merging approach with a density of 0.10, indicating a specific strategy for combining multiple model checkpoints.

Key Characteristics

  • Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
  • Origin: Developed through a merge experiment, suggesting it integrates knowledge or capabilities from various source models.
  • Merge Strategy: Employs a TIES merging method with a 0.10 density, which is a technique for efficiently combining model weights.

Potential Use Cases

This model is suitable for a range of general-purpose natural language processing tasks where a 4B parameter model is appropriate. Its merged architecture may provide robust performance across diverse domains, making it a versatile option for applications requiring text generation, summarization, or question answering.

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