69 lines
1.9 KiB
Markdown
69 lines
1.9 KiB
Markdown
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---
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base_model:
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- cs-552-2026-databand/multilingual_model
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- cs-552-2026-databand/safety_model
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- cs-552-2026-databand/math_model
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- Qwen/Qwen3-1.7B
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- cs-552-2026-databand/general_knowledge_model
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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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# group_final
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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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) 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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* [cs-552-2026-databand/multilingual_model](https://huggingface.co/cs-552-2026-databand/multilingual_model)
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* [cs-552-2026-databand/safety_model](https://huggingface.co/cs-552-2026-databand/safety_model)
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* [cs-552-2026-databand/math_model](https://huggingface.co/cs-552-2026-databand/math_model)
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* [cs-552-2026-databand/general_knowledge_model](https://huggingface.co/cs-552-2026-databand/general_knowledge_model)
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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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base_model: Qwen/Qwen3-1.7B
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dtype: bfloat16
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merge_method: dare_ties
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modules:
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default:
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slices:
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- sources:
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- layer_range: [0, 28]
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model: cs-552-2026-databand/math_model
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parameters:
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density: 0.9
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weight: 1.0
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- layer_range: [0, 28]
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model: cs-552-2026-databand/general_knowledge_model
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parameters:
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density: 0.9
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weight: 1.0
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- layer_range: [0, 28]
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model: cs-552-2026-databand/safety_model
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parameters:
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density: 0.9
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weight: 1.0
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- layer_range: [0, 28]
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model: cs-552-2026-databand/multilingual_model
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parameters:
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density: 0.9
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weight: 1.0
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- layer_range: [0, 28]
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model: Qwen/Qwen3-1.7B
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parameters:
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int8_mask: 1.0
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normalize: 1.0
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```
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