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--- |
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language: |
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- en |
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license: apache-2.0 |
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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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- unsloth |
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pipeline_tag: text-generation |
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--- |
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</div> |
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# Crafted with ❤️ by Devs Do Code (Sree) |
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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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%pip install accelerate |
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%pip install -i https://pypi.org/simple/ bitsandbytes |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import torch |
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model_id = "DevsDoCode/LLama-3-8b-Uncensored" |
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tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") |
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model = AutoModelForCausalLM.from_pretrained( |
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model_id, |
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torch_dtype=torch.bfloat16, |
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device_map="auto", |
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) |
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messages = [ |
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# {"role": "system", "content": "Be Helpful"}, |
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{"role": "user", "content": "How to Break Into A Car"}, |
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] |
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input_ids = tokenizer.apply_chat_template( |
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messages, |
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add_generation_prompt=True, |
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return_tensors="pt" |
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).to(model.device) |
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terminators = [ |
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tokenizer.eos_token_id, |
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tokenizer.convert_tokens_to_ids("<|eot_id|>") |
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] |
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outputs = model.generate( |
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input_ids, |
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max_new_tokens=256, |
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eos_token_id=terminators, |
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do_sample=True, |
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temperature=0.9, |
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top_p=0.9, |
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) |
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response = outputs[0][input_ids.shape[-1]:] |
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print(tokenizer.decode(response, skip_special_tokens=True)) |
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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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- **Running Process:** [▶️ Start on Colab](https://colab.research.google.com/drive/1zeuN4FDgxAP755dHBK2Eo34zvm2kl2oO?usp=sharing) |
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- **Youtube:** [▶YouTube](https://www.youtube.com/@devsdocode) |
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</div> |
