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README.md CHANGED
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  ---
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  base_model:
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- - alpindale/Mistral-7B-v0.2-hf
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- - mistralai/Mistral-7B-Instruct-v0.2
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- - SanjiWatsuki/Kunoichi-DPO-v2-7B
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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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- # coolmodel1
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) as a base.
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  ### Models Merged
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  The following models were included in the merge:
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- * [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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- * [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
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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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- models:
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- - model: alpindale/Mistral-7B-v0.2-hf
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- # No parameters necessary for base model
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- - model: mistralai/Mistral-7B-Instruct-v0.2
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- parameters:
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- density: 0.53
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- weight: 0.4
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- - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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- parameters:
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- density: 0.53
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- weight: 0.4
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- merge_method: dare_ties
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- base_model: alpindale/Mistral-7B-v0.2-hf
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  parameters:
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- int8_mask: true
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- dtype: bfloat16
 
 
 
 
 
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  ```
 
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  ---
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  base_model:
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+ - mpasila/Alpacazord-Viking-7B
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+ - mpasila/Finnish-Viking-Alpaca-V1-7B
 
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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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+ # Finnish-Alpacazord-7B
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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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+ This is just a test to see if I can improve my models by merging the Finnish data based model with the slightly higher performing English data based model.
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+
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  ## Merge Details
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  ### Merge Method
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+ This model was merged using the SLERP merge method.
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  ### Models Merged
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  The following models were included in the merge:
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+ * [mpasila/Alpacazord-Viking-7B](https://huggingface.co/mpasila/Alpacazord-Viking-7B)
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+ * [mpasila/Finnish-Viking-Alpaca-V1-7B](https://huggingface.co/mpasila/Finnish-Viking-Alpaca-V1-7B)
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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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+ slices:
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+ - sources:
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+ - model: mpasila/Finnish-Viking-Alpaca-V1-7B
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+ layer_range: [0, 32]
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+ - model: mpasila/Alpacazord-Viking-7B
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+ layer_range: [0, 32]
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+ # or, the equivalent models: syntax:
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+ # models:
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+ # - model: psmathur/orca_mini_v3_13b
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+ # - model: garage-bAInd/Platypus2-13B
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+ merge_method: slerp
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+ base_model: mpasila/Finnish-Viking-Alpaca-V1-7B
 
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  parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5 # fallback for rest of tensors
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+ dtype: float16
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  ```
config.json CHANGED
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  {
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- "_name_or_path": "alpindale/Mistral-7B-v0.2-hf",
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- "MistralForCausalLM"
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  ],
 
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  "attention_dropout": 0.0,
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  "initializer_range": 0.02,
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- "model_type": "mistral",
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  "num_attention_heads": 32,
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  "transformers_version": "4.38.2",
 
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  "use_cache": true,
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- "vocab_size": 32000
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  }
 
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  {
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+ "pretraining_tp": 1,
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+ "torch_dtype": "float16",
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  "transformers_version": "4.38.2",
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+ "untie_embeddings_and_output_weights": true,
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  "use_cache": true,
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+ "vocab_size": 131072
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