| base_model: [] | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # 2x_bagel-34b-v0.2 | |
| 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 passthrough merge method. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * ./jondurbin_bagel-34b-v0.2 | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| dtype: float32 | |
| merge_method: passthrough | |
| slices: | |
| - sources: | |
| - layer_range: [0, 20] | |
| model: "jondurbin_bagel-34b-v0.2" | |
| parameters: | |
| scale: | |
| - filter: q_proj | |
| value: 0.7071067812 | |
| - filter: k_proj | |
| value: 0.7071067812 | |
| - value: 1 | |
| - sources: | |
| - layer_range: [10, 30] | |
| model: "jondurbin_bagel-34b-v0.2" | |
| parameters: | |
| scale: | |
| - filter: q_proj | |
| value: 0.7071067812 | |
| - filter: k_proj | |
| value: 0.7071067812 | |
| - value: 1 | |
| - sources: | |
| - layer_range: [20, 40] | |
| model: "jondurbin_bagel-34b-v0.2" | |
| parameters: | |
| scale: | |
| - filter: q_proj | |
| value: 0.7071067812 | |
| - filter: k_proj | |
| value: 0.7071067812 | |
| - value: 1 | |
| - sources: | |
| - layer_range: [30, 50] | |
| model: "jondurbin_bagel-34b-v0.2" | |
| parameters: | |
| scale: | |
| - filter: q_proj | |
| value: 0.7071067812 | |
| - filter: k_proj | |
| value: 0.7071067812 | |
| - value: 1 | |
| - sources: | |
| - layer_range: [40, 60] | |
| model: "jondurbin_bagel-34b-v0.2" | |
| parameters: | |
| scale: | |
| - filter: q_proj | |
| value: 0.7071067812 | |
| - filter: k_proj | |
| value: 0.7071067812 | |
| - value: 1 | |
| name: 2xbagel_fp32 | |
| --- | |
| dtype: bfloat16 | |
| merge_method: passthrough | |
| slices: | |
| - sources: | |
| - layer_range: [0, 100] | |
| model: 2xbagel_fp32 | |
| name: bagel_new | |
| ``` | |