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@@ -16,21 +16,45 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # mistral_instruct_generation
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  This model is a fine-tuned version of [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) on the generator dataset.
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  ## Model description
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- More information needed
 
 
 
 
 
 
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- ## Intended uses & limitations
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- More information needed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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@@ -52,4 +76,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.40.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.0
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- - Tokenizers 0.19.1
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # chain-texts-0.1-dolphin-mixtral-8x7b
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  This model is a fine-tuned version of [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) on the generator dataset.
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  ## Model description
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+ - **Developed by:** Matt Owen
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+ - **Funded by [optional]:** Matt Owen
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+ - **Shared by [optional]:** Matt Owen
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+ - **Model type:** Sparse Mixture-of-Experts (SMoE)
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+ - **Language(s) (NLP):** English
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+ - **License:** The Unlicense
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+ - **Finetuned from model [optional]:** Dolphin 2.6 Mixtral 8x7b
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+ ## Intended Uses & Limitations
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+ Easy your day-to-day workload by:
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+ * Generate horny chain text message threads for any holiday
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+ * Other things
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+ ### Direct Use
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+ This can be used directly to make semi-spot-on, humorous, risqué chain text messages.
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+ ### Out-of-Scope Use
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+ Do not use this model to send unsolicited, creepy messages.
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+ ## Bias, Risks, and Limitations
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+ Source data was compiled from message boards, and - as a result - carries all the biases of anonymous internet users.
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+ ### Recommendations
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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  ## Training and evaluation data
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+ Chain texts scraped from the world wide web.
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  ## Training procedure
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  - Transformers 4.40.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.0
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+ - Tokenizers 0.19.1