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Model Merge JP

ModelMerge-JP

Efficient model merging, merging for maximized constructive interference, and sparsification-based merging.

Models in Library1
Datasets in Library0
Models on Hugging Face1
Followers4

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

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Models

Model · Image and text to text

Mephisto-1.5-4B

Model Merge JP

Mephisto-1.5-4B is a 4B-parameter agentic language model constructed via multi-stage model merging using mergekit. The model integrates reasoning, coding, and agentic capabilities into a single 4B checkpoint based on the Qwen3.5-4B architecture, targeting performance exceeding Mephisto-4B-v2 on Japanese and agentic benchmarks while maintaining deployment feasibility on consumer hardware (RTX 3060 12GB). The model is constructed through a three-stage merging pipeline: Normalized spherical linear interpolation (NuSLERP) on task vectors derived from a common base model (Qwen3.5-4B). This stage fuses a reasoning-distilled model (Opus-reasoning distillation) with a code-specialized model.…

Open weights 4.2B parameters 262,144 tokens transformers