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--- |
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base_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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license: apache-2.0 |
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--- |
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# DoubleBagel-57B-v1.0 |
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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 passthrough merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* ./jondurbin_bagel-34b-v0.2 |
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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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dtype: float32 |
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merge_method: passthrough |
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slices: |
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- sources: |
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- layer_range: [0, 20] |
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model: "jondurbin_bagel-34b-v0.2" |
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parameters: |
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scale: |
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- filter: q_proj |
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value: 0.7071067812 |
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- filter: k_proj |
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value: 0.7071067812 |
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- value: 1 |
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- sources: |
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- layer_range: [10, 30] |
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model: "jondurbin_bagel-34b-v0.2" |
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parameters: |
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scale: |
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- filter: q_proj |
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value: 0.7071067812 |
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- filter: k_proj |
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value: 0.7071067812 |
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- value: 1 |
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- sources: |
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- layer_range: [20, 40] |
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model: "jondurbin_bagel-34b-v0.2" |
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parameters: |
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scale: |
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- filter: q_proj |
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value: 0.7071067812 |
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- filter: k_proj |
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value: 0.7071067812 |
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- value: 1 |
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- sources: |
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- layer_range: [30, 50] |
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model: "jondurbin_bagel-34b-v0.2" |
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parameters: |
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scale: |
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- filter: q_proj |
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value: 0.7071067812 |
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- filter: k_proj |
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value: 0.7071067812 |
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- value: 1 |
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- sources: |
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- layer_range: [40, 60] |
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model: "jondurbin_bagel-34b-v0.2" |
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parameters: |
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scale: |
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- filter: q_proj |
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value: 0.7071067812 |
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- filter: k_proj |
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value: 0.7071067812 |
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- value: 1 |
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name: 2xbagel_fp32 |
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--- |
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dtype: bfloat16 |
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merge_method: passthrough |
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slices: |
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- sources: |
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- layer_range: [0, 100] |
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model: 2xbagel_fp32 |
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name: bagel_new |
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``` |
