| base_model: | |
| - abacusai/Smaugv0.1 | |
| - NousResearch/Nous-Hermes-2-Yi-34B | |
| - jondurbin/bagel-34b-v0.2 | |
| - 01-ai/Yi-34B-200K | |
| tags: | |
| - mergekit | |
| - merge | |
| # queen | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [01-ai/Yi-34B-200K](https://huggingface.co/01-ai/Yi-34B-200K) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [abacusai/Smaugv0.1](https://huggingface.co/abacusai/Smaugv0.1) | |
| * [NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) | |
| * [jondurbin/bagel-34b-v0.2](https://huggingface.co/jondurbin/bagel-34b-v0.2) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: 01-ai/Yi-34B-200K | |
| # No parameters necessary for base model | |
| - model: abacusai/Smaugv0.1 | |
| parameters: | |
| density: 0.53 | |
| weight: 0.3 | |
| - model: jondurbin/bagel-34b-v0.2 | |
| parameters: | |
| density: 0.53 | |
| weight: 0.3 | |
| - model: NousResearch/Nous-Hermes-2-Yi-34B | |
| parameters: | |
| density: 0.53 | |
| weight: 0.4 | |
| merge_method: dare_ties | |
| base_model: 01-ai/Yi-34B-200K | |
| parameters: | |
| int8_mask: true | |
| dtype: bfloat16 | |
| ``` | |