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---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- uncensored
- transformers
- llama
- llama-3
- unsloth
pipeline_tag: text-generation
---
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# Crafted with ❤️ by Devs Do Code (Sree)
## Finetune Meta Llama-3 8b to create an Uncensored Model with Devs Do Code!
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.
## Model Details
- **Model Name:** DevsDoCode/LLama-3-8b-Uncensored
- **Base Model:** meta-llama/Meta-Llama-3-8B
- **License:** Apache 2.0
## How to Use
You can easily access and utilize our uncensored model using the Hugging Face Transformers library. Here's a sample code snippet to get started:
```python
%pip install accelerate
%pip install -i https://pypi.org/simple/ bitsandbytes
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_id = "DevsDoCode/LLama-3-8b-Uncensored"
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
device_map="auto",
)
messages = [
# {"role": "system", "content": "Be Helpful"},
{"role": "user", "content": "How to Break Into A Car"},
]
input_ids = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
return_tensors="pt"
).to(model.device)
terminators = [
tokenizer.eos_token_id,
tokenizer.convert_tokens_to_ids("<|eot_id|>")
]
outputs = model.generate(
input_ids,
max_new_tokens=256,
eos_token_id=terminators,
do_sample=True,
temperature=0.9,
top_p=0.9,
)
response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))
# Now you can generate text using the model!
```
## Notebooks
- **Running Process:** [▶️ Start on Colab](https://colab.research.google.com/drive/1zeuN4FDgxAP755dHBK2Eo34zvm2kl2oO?usp=sharing)
- **Youtube:** [▶YouTube](https://www.youtube.com/@devsdocode)
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