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Model: ForSureTesterSim/merge-test-2-sibling-violation Source: Original Platform
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README.md
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---
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base_model:
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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- nvidia/Nemotron-Research-Reasoning-Qwen-1.5B
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- nvidia/OpenMath-Nemotron-1.5B
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- Fate-Zero/Archer2.0-Code-1.5B-Preview
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge_test_2
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [nvidia/Nemotron-Research-Reasoning-Qwen-1.5B](https://huggingface.co/nvidia/Nemotron-Research-Reasoning-Qwen-1.5B)
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* [nvidia/OpenMath-Nemotron-1.5B](https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B)
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* [Fate-Zero/Archer2.0-Code-1.5B-Preview](https://huggingface.co/Fate-Zero/Archer2.0-Code-1.5B-Preview)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: della
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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dtype: bfloat16
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models:
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- model: nvidia/OpenMath-Nemotron-1.5B
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parameters:
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weight: 1.0
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density: 0.6
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epsilon: 0.3
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- model: nvidia/Nemotron-Research-Reasoning-Qwen-1.5B
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parameters:
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weight: 1.0
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density: 0.6
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epsilon: 0.3
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- model: Fate-Zero/Archer2.0-Code-1.5B-Preview
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parameters:
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weight: 1.0
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density: 0.6
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epsilon: 0.3
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```
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