DevsDoCode
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LLama-3-8b-Uncensored

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 ---
+language:
+- en
+license: apache-2.0
 library_name: transformers
+tags:
+- uncensored
+- transformers
+- llama
+- llama-3
+- unsloth
+pipeline_tag: text-generation
 ---
+<div align="center">
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+</div>
+# 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)
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