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- ---
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- license: mit
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- tags:
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- - unsloth
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ tags:
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+ - unsloth
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+ - Uncensored
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+ - text-generation-inference
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+ - transformers
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+ - unsloth
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+ - llama
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+ - trl
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+ datasets:
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+ - openerotica/mixed-rp
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+ - kingbri/PIPPA-shareGPT
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+ language:
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+ - en
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+ base_model:
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+ - N-Bot-Int/OpenRP3B-Llama3.2
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+ new_version: N-Bot-Int/OpenElla3-Llama3.2B
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+ pipeline_tag: text-generation
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+ library_name: peft
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+ ---
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+ <a href="https://ibb.co/GvDjFcVp"><img src="https://i.ibb.co/pvTpnJ3w/image.webp" alt="image" border="0"></a>
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+
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+ # Llama3.2 - OpenElla3A
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+ - OpenElla, is a Llama3.2 **3B** Parameter Model,
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+ That is fine-tuned for Roleplaying purposes, even with limited Parameters.
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+ This is achieved through Series of Dataset Finetuning, with 2 Dataset with different
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+ Weight, Aiming to Counter Llama3.2's Generalist Approach and focus On Specializing with
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+ Roleplaying and Acting.
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+
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+ - OpenElla3A Excells in Outputting **RAW** and **UNCENSORED** Output
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+ However **LACKS THE PROPER TRAINING FOR OBIDIENCE**, Due to this, OpenElla3 Model **A**
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+ Are Only Used for Training purposes, if you seek to train or Distill A Llama Model to
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+ Force it to generate Uncensored Content then please do so with care and ethical considerations
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+
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+ - OpenElla3A is
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+ - **Developed by:** N-Bot-Int
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+ - **License:** apache-2.0
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+ - **Parent Model from model:** unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
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+ - **Sequential Trained from Model:** N-Bot-Int/OpenRP3B-Llama3.2
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+ - **Dataset Combined Using:** Mosher-R1(Propietary Software)
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+
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+ - OpenElla3A Is **NOT YET RANKED WITH ANY METRICS**
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+ - Feel free to support by Emailing me: <link src="mailto:nexus.networkinteractives@gmail.com">nexus.networkinteractives@gmail.com</link>
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+
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+ - # Notice
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+ - **For a Good Experience, Please use**
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+ - Low temperature 1.5, min_p = 0.1 and max_new_tokens = 128
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+
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+
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+ - # Detail card:
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+ - Parameter
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+ - 3 Billion Parameters
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+ - (Please visit your GPU Vendor if you can Run 3B models)
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+
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+ - Training
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+ - 500 steps
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+ - Mixed-RP Startup Dataset
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+ - 200 steps
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+ - PIPPA-ShareGPT for bypassing Llama's Censorship Model
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+ - 150 steps(Re-fining)
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+ - PIPPA-ShareGPT to further increase weight of uncensorsed prompt
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+
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+ - Finetuning tool:
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+ - Unsloth AI
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+ - This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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+ [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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+ - Fine-tuned Using:
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+ - Google Colab
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+
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+