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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model:
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+ - Sao10K/MN-BackyardAI-Party-12B-v1
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+ - Gryphe/Pantheon-RP-1.6.1-12b-Nemo
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+ - intervitens/mini-magnum-12b-v1.1
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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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+ ---
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+ # merge
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+
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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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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Sao10K/MN-BackyardAI-Party-12B-v1](https://huggingface.co/Sao10K/MN-BackyardAI-Party-12B-v1) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [Gryphe/Pantheon-RP-1.6.1-12b-Nemo](https://huggingface.co/Gryphe/Pantheon-RP-1.6.1-12b-Nemo)
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+ * [intervitens/mini-magnum-12b-v1.1](https://huggingface.co/intervitens/mini-magnum-12b-v1.1)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: Sao10K/MN-BackyardAI-Party-12B-v1
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+ # no parameters necessary for base model
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+ - model: intervitens/mini-magnum-12b-v1.1
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+ parameters:
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+ weight: 0.3
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+ density: 0.4
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+ - model: Gryphe/Pantheon-RP-1.6.1-12b-Nemo
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+ parameters:
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+ weight: 0.3
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+ density: 0.4
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+ - model: Sao10K/MN-BackyardAI-Party-12B-v1
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+ parameters:
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+ weight: 0.4
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+ density: 0.8
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+ merge_method: dare_ties
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+ base_model: Sao10K/MN-BackyardAI-Party-12B-v1
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+ parameters:
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+ int8_mask: true
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+ normalize: true
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+ dtype: bfloat16
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+ ```
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+ "_name_or_path": "Sao10K/MN-BackyardAI-Party-12B-v1",
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+ "MistralForCausalLM"
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+ "rms_norm_eps": 1e-05,
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+ }
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+ models:
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+ - model: Sao10K/MN-BackyardAI-Party-12B-v1
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+ # no parameters necessary for base model
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+ - model: intervitens/mini-magnum-12b-v1.1
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+ parameters:
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+ weight: 0.3
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+ density: 0.4
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+ - model: Gryphe/Pantheon-RP-1.6.1-12b-Nemo
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+ parameters:
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+ weight: 0.3
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+ density: 0.4
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+ - model: Sao10K/MN-BackyardAI-Party-12B-v1
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+ parameters:
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+ weight: 0.4
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+ density: 0.8
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+ merge_method: dare_ties
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+ base_model: Sao10K/MN-BackyardAI-Party-12B-v1
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+ parameters:
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+ int8_mask: true
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+ normalize: true
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+ dtype: bfloat16
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