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  <div style="width: 800px; margin: auto;">
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  <h2>Model Description</h2>
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- <p>“Luna AI Llama2 Uncensored” is a state-of-the-art Chat model fine-tuned on over 400,000 instructions. <br />
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- This model was fine-tuned by Tap, the creator of Luna AI. <br /> The result is an enhanced Llama2 7b model that rivals ChatGPT in performance across a variety of tasks.</p>
 
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  <p>This model stands out for its long responses, low hallucination rate, and absence of censorship mechanisms. <br />
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  The fine-tuning process was performed on an 8x a100 80GB machine.</p>
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  <h2>Model Training</h2>
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- <p>The model was trained almost entirely on synthetic outputs. <br />This includes data from diverse sources such as Orca, GPT4-LLM, and a custom unreleased dataset.<br /> The total volume of data encompassed over 400,000 high quality instructions.</p>
 
 
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  <p>Huge shoutout and acknowledgement is deserved for all the dataset creators who generously share their datasets openly.</p>
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  <h2>Prompt Format</h2>
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  <h2>Future Plans</h2>
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- <p>The model is currently being uploaded in FP16 format, and there are plans to convert the model to GGML and GPTQ 4bit quantizations.</p>
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  <h2>Benchmark Results</h2>
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  <pre>
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  <h2>Ethical considerations</h2>
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  <p>The data used to train the model is collected from various sources, mostly from the Web. <br />
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- As such, it contains offensive, harmful and biased content. We thus expect the model to exhibit such biases from the training data.</p>
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  <h2>Human life</h2>
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- <p>The model is not intended to inform decisions about matters central to human life, and should not be used in such a way.</p>
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  <h2>Risks and harms</h2>
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  <p>Risks and harms of large language models include the generation of harmful, offensive or biased content. <br />
 
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  <div style="width: 800px; margin: auto;">
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  <h2>Model Description</h2>
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+ <p>“Luna AI Llama2 Uncensored” is a Llama2 based Chat model fine-tuned on over 400,000 instructions. <br />
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+ This model was fine-tuned by Tap, the creator of Luna AI. <br />
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+ The result is an enhanced Llama2 7b model that rivals ChatGPT in performance across a variety of tasks.</p>
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  <p>This model stands out for its long responses, low hallucination rate, and absence of censorship mechanisms. <br />
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  The fine-tuning process was performed on an 8x a100 80GB machine.</p>
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  <h2>Model Training</h2>
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+ <p>The model was trained almost entirely on synthetic outputs. <br />
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+ This includes data from diverse sources such as Orca, GPT4-LLM, and a custom unreleased dataset.<br />
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+ The total volume of data encompassed over 400,000 high quality instructions.</p>
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  <p>Huge shoutout and acknowledgement is deserved for all the dataset creators who generously share their datasets openly.</p>
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  <h2>Prompt Format</h2>
 
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  <h2>Future Plans</h2>
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+ <p>The model is currently being uploaded in FP16 format, <br />and there are plans to convert the model to GGML and GPTQ 4bit quantizations.</p>
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  <h2>Benchmark Results</h2>
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  <pre>
 
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  <h2>Ethical considerations</h2>
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  <p>The data used to train the model is collected from various sources, mostly from the Web. <br />
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+ As such, it contains offensive, harmful and biased content. <br />We thus expect the model to exhibit such biases from the training data.</p>
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  <h2>Human life</h2>
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+ <p>The model is not intended to inform decisions about matters central to human life, <br />and should not be used in such a way.</p>
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  <h2>Risks and harms</h2>
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  <p>Risks and harms of large language models include the generation of harmful, offensive or biased content. <br />