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--- |
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language: |
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- en |
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license: llama2 |
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library_name: transformers |
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tags: |
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- uncensored |
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- transformers |
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- llama |
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- llama-3 |
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--- |
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## Contributors |
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![Contributors](https://raw.githubusercontent.com/unslothai/unsloth/main/images/contributors.png) **Devs Do Code**, **Sreejan**, **OEvortex** |
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## Social Media Handles |
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- **Telegram:** [Insert Telegram Handle](https://t.me/your_telegram_handle) |
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- **YouTube:** [Insert YouTube Channel](https://www.youtube.com/your_channel) |
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- **Instagram:** [Insert Instagram Handle](https://www.instagram.com/your_instagram_handle) |
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- **LinkedIn:** [Insert LinkedIn Profile](https://www.linkedin.com/in/your_profile) |
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- **Discord:** [Insert Discord Server Invite](https://discord.gg/your_server_invite) |
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- **Twitter:** [Insert Twitter Handle](https://twitter.com/your_twitter_handle) |
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# Finetune Meta Llama-3 8b to create an Uncensored Model with Devs Do Code! |
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Unleash the power of uncensored text generation with our model! We've fine-tuned the Meta Llama-3 8b model to create an uncensored variant that pushes the boundaries of text generation. |
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## Model Details |
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- **Model Name:** DevsDoCode/LLama-3-8b-Uncensored |
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- **Base Model:** meta-llama/Meta-Llama-3-8B |
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- **License:** Apache 2.0 |
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## How to Use |
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You can easily access and utilize our uncensored model using the Hugging Face Transformers library. Here's a sample code snippet to get started: |
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```python |
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from transformers import GPT2Tokenizer, GPT2LMHeadModel |
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model_name = "DevsDoCode/LLama-3-8b-Uncensored" |
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tokenizer = GPT2Tokenizer.from_pretrained(model_name) |
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model = GPT2LMHeadModel.from_pretrained(model_name) |
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# Now you can generate text using the model! |
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``` |
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## Notebooks |
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- **Finetuning Process:** [▶️ Start on Colab](https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing) |
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- **Accessing the Model:** [▶️ Start on Colab](https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing) |
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