49 lines
1.5 KiB
Markdown
49 lines
1.5 KiB
Markdown
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---
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base_model:
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- Qwen/Qwen2.5-1.5B
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- Qwen/Qwen2.5-1.5B-Instruct
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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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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# **Qwen2.5-1.5B-DeepSeek-R1-Instruct**
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This model is a merged pre-trained language model created using MergeKit with the TIES merge method. It uses **Qwen/Qwen2.5-1.5B-Instruct** as the base and combines **Qwen/Qwen2.5-1.5B** and **deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B** with equal weight and density. The merge configuration includes normalization, int8 masking, and `bfloat16` precision for optimized performance.
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# **Merge**
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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 Method**
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) 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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* [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B)
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* [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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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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models:
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- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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- model: Qwen/Qwen2.5-1.5B
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parameters:
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weight: 1
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density: 1
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merge_method: ties
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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parameters:
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weight: 1
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density: 1
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normalize: true
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int8_mask: true
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dtype: bfloat16
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```
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