| base_model: [] | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # Deepseek-EVA-DELLA-Merge | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| The intent is to make Deepseek R1 32B feel more like a "base model" like EVA-Gutenberg Qwen, adhering to an existing style when writing. | |
| But consider this a quick A/B test between the new DELLA and SCE merging techniques. This is the DELLA merge, with a average density of 0.6 as found to be ideal for DARE in the SCE paper, but a higher epsilon to allow more density varaition: https://arxiv.org/abs/2408.07990 | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using /home/a/Models/Raw/Qwen_Qwen2.5-32B as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * /home/a/Models/Raw/deepseek-ai_DeepSeek-R1-Distill-Qwen-32B | |
| * /home/a/Models/Raw/nbeerbower_EVA-Gutenberg3-Qwen2.5-32B | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: /home/a/Models/Raw/Qwen_Qwen2.5-32B | |
| # No parameters necessary for base model | |
| - model: /home/a/Models/Raw/nbeerbower_EVA-Gutenberg3-Qwen2.5-32B | |
| parameters: | |
| weight: 0.5 | |
| density: 0.5 | |
| - model: /home/a/Models/Raw/deepseek-ai_DeepSeek-R1-Distill-Qwen-32B | |
| parameters: | |
| weight: 0.5 | |
| density: 0.7 | |
| merge_method: della | |
| tokenizer: | |
| source: "union" | |
| base_model: /home/a/Models/Raw/Qwen_Qwen2.5-32B | |
| chat_template: "deepseek" | |
| parameters: | |
| int8_mask: true | |
| epsilon: 0.17 | |
| lambda: 1 | |
| dtype: bfloat16 | |
| ``` | |