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.ipynb_checkpoints/mergekit_config-checkpoint.yml ADDED
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+ base_model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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+ dtype: bfloat16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0.0, 0.5, 0.3, 0.7, 1.0]
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+ - filter: mlp
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+ value: [1.0, 0.5, 0.7, 0.3, 0.0]
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+ - value: 0.5
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model: SanjiWatsuki/Sonya-7B
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+ - layer_range: [0, 32]
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+ model: SanjiWatsuki/Kunoichi-7B
README.md ADDED
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+ ---
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+ base_model:
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+ - SanjiWatsuki/Sonya-7B
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+ - EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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+ - SanjiWatsuki/Kunoichi-7B
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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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+ # merged
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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 SLERP merge method.
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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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+ * [SanjiWatsuki/Sonya-7B](https://huggingface.co/SanjiWatsuki/Sonya-7B)
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+ * [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
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+ * [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)
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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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+ base_model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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+ dtype: bfloat16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0.0, 0.5, 0.3, 0.7, 1.0]
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+ - filter: mlp
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+ value: [1.0, 0.5, 0.7, 0.3, 0.0]
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+ - value: 0.5
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model: SanjiWatsuki/Sonya-7B
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+ - layer_range: [0, 32]
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+ model: SanjiWatsuki/Kunoichi-7B
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "EmbeddedLLM/Mistral-7B-Merge-14-v0.1",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "model_type": "mistral",
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+ base_model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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+ dtype: bfloat16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0.0, 0.5, 0.3, 0.7, 1.0]
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+ - filter: mlp
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+ value: [1.0, 0.5, 0.7, 0.3, 0.0]
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+ - value: 0.5
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model: SanjiWatsuki/Sonya-7B
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+ - layer_range: [0, 32]
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+ model: SanjiWatsuki/Kunoichi-7B
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