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  - merge
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  - mergekit
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  base_model:
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- - NousResearch/Meta-Llama-3-8B-Instruct
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  ---
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  <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
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  pre { background-color: rgba(255, 255, 255, 0.05); padding: 10px; border-radius: 5px; overflow-x: auto; }
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  code { font-family: 'Courier New', monospace; color: #A3BE8C; } </style> </head> <body> <div class="container">
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  <div class="header">
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- <h1>Aura-llama-3</h1> </div> <div class="info">
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/QYpWMEXTe0_X3A7HyeBm0.webp" alt="Aura-llama image">
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  <p>Now that the cute anime girl has your attention.</p>
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- <p>UPDATE: Model has been fixed</p>
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  <p>Aura-llama is using the methodology presented by SOLAR for scaling LLMs called depth up-scaling (DUS), which encompasses architectural modifications with continued pretraining. Using the solar paper as a base, I integrated Llama-3 weights into the upscaled layers, and In the future plan to continue training the model.</p>
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  <p>Aura-llama is a merge of the following models to create a base model to work from:</p>
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  <ul>
 
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  - merge
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  - mergekit
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  base_model:
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+ - failspy/Llama-3-8B-Instruct-abliterated
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  ---
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  <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
 
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  pre { background-color: rgba(255, 255, 255, 0.05); padding: 10px; border-radius: 5px; overflow-x: auto; }
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  code { font-family: 'Courier New', monospace; color: #A3BE8C; } </style> </head> <body> <div class="container">
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  <div class="header">
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+ <h1>Aura-llama-3-Abliterated</h1> </div> <div class="info">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/AwLNDVB-GIY7k0wnVV_TX.png" alt="Aura-llama-Abliterated Image">
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  <p>Now that the cute anime girl has your attention.</p>
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+ <p>UPDATE: Model is now using the abliterated version of meta llama 3 8b </p>
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  <p>Aura-llama is using the methodology presented by SOLAR for scaling LLMs called depth up-scaling (DUS), which encompasses architectural modifications with continued pretraining. Using the solar paper as a base, I integrated Llama-3 weights into the upscaled layers, and In the future plan to continue training the model.</p>
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  <p>Aura-llama is a merge of the following models to create a base model to work from:</p>
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  <ul>