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README.md CHANGED
@@ -1,3 +1,46 @@
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ ---
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+ # saiga_nemo_12b_sft_m9_d16_slerp
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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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+ * models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36
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+ * models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
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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: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
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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, 40]
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+ model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36
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+ - layer_range: [0, 40]
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+ model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
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+
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+ ```
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+ "_name_or_path": "models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "pad_token_id": 10,
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+ "rms_norm_eps": 1e-05,
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+ "use_cache": true,
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+ "vocab_size": 131072
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+ }
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+ dtype: bfloat16
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+ merge_method: slerp
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+ parameters:
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+ - layer_range: [0, 40]
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+ model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
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