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  1. .gitattributes +1 -0
  2. README.md +38 -0
  3. added_tokens.json +5 -0
  4. config.json +28 -0
  5. mergekit_config.yml +8 -0
  6. merges.txt +0 -0
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.gitattributes CHANGED
@@ -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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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* 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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+ - smelborp/StellarDong-72b
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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 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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+ * [smelborp/StellarDong-72b](https://huggingface.co/smelborp/StellarDong-72b)
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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: smelborp/StellarDong-72b
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+ - model: smelborp/StellarDong-72b
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+ merge_method: slerp
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+ base_model: smelborp/StellarDong-72b
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+ dtype: float32
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+ parameters:
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+ t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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+
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+ ```
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.45.1",
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+ "use_cache": false,
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+ "vocab_size": 152064
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+ }
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+ models:
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+ - model: smelborp/StellarDong-72b
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+ - model: smelborp/StellarDong-72b
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+ merge_method: slerp
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+ base_model: smelborp/StellarDong-72b
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+ dtype: float32
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+ parameters:
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+ t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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