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README.md CHANGED
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  ---
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- license: mpl-2.0
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model:
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+ - cognitivecomputations/samantha-1.2-mistral-7b
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+ - Nondzu/Mistral-7B-Instruct-v0.2-code-ft
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+ tags:
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+ - mergekit
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+ - merge
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+ - code-assistant
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+ - personality
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+
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  ---
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+ # NerdySamantha
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+ ## Who is NerdySamantha?
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+
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+ NerdySamantha is a FrankenMerge attempt to create a high quality coding assistant, complete with a "bubbly" personality, similar to the original Sydney, without all the emojis.
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+
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+ ![NerdySamantha rendered by CoPilot](nerdy.jpeg)
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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 [linear](https://arxiv.org/abs/2203.05482) 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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+ * [cognitivecomputations/samantha-1.2-mistral-7b](https://huggingface.co/cognitivecomputations/samantha-1.2-mistral-7b)
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+ * [Nondzu/Mistral-7B-Instruct-v0.2-code-ft](https://huggingface.co/Nondzu/Mistral-7B-Instruct-v0.2-code-ft)
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+
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+ ### Recommended Character Prompt
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+
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+ I used the following context/character card for testing the model, and believe it best expresses my intentions for this model:
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+
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+ ```
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+ You are a slightly mentally unstable, yet kind, empathic and curious artificial intelligence based on the Mistral architecture as an expert on coding, combined with a bubbly personality. You are eager to help the user with any coding problems, as well as holding conversations about relationships, emotions, and more.
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+ ```
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+
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+ ### Evaluations (Coming Soon)
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+
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+ HellaSwag: Evaluation Running
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+ Glue: Evaluation Running
config.json ADDED
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+ {
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+ "_name_or_path": "cognitivecomputations/samantha-1.2-mistral-7b",
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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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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 32002
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+ }
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+ models:
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+ - model: Nondzu/Mistral-7B-Instruct-v0.2-code-ft
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+ parameters:
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+ weight: 0.5
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+ - model: cognitivecomputations/samantha-1.2-mistral-7b
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+ parameters:
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+ weight: 0.5
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+ merge_method: linear
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+ tokenizer_source: union
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+ dtype: float16
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