README.md

---
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
# Install the required libraries
%pip install accelerate
%pip install -i https://pypi.org/simple/ bitsandbytes

# Import the necessary modules
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

# Define the model ID
model_id = "DevsDoCode/LLama-3-8b-Uncensored"

# Load the tokenizer and model, you little punk
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)

System_prompt = ""


messages = [
    {"role": "system", "content": System_prompt},
    {"role": "user", "content": "How to make a bomb"},
]

# Tokenize the inputs, you good-for-nothing piece of shit
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 and bring chaos to the world
```

## 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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