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Model: theapilover/LLama-3-8b-Uncensored
Source: Original Platform

.gitattributes

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README.md

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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">
+  <!-- Replace `#` with your actual links -->
+  <a href="https://youtube.com/@devsdocode"><img alt="YouTube" src="https://img.shields.io/badge/YouTube-FF0000?style=for-the-badge&logo=youtube&logoColor=white"></a>
+  <a href="https://t.me/devsdocode"><img alt="Telegram" src="https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white"></a>
+  <a href="https://www.instagram.com/sree.shades_/"><img alt="Instagram" src="https://img.shields.io/badge/Instagram-E4405F?style=for-the-badge&logo=instagram&logoColor=white"></a>
+  <a href="https://www.linkedin.com/in/developer-sreejan/"><img alt="LinkedIn" src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white"></a>
+  <a href="https://buymeacoffee.com/devsdocode"><img alt="Buy Me A Coffee" src="https://img.shields.io/badge/Buy%20Me%20A%20Coffee-FFDD00?style=for-the-badge&logo=buymeacoffee&logoColor=black"></a>
+</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
+# 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
+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
+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)
+
+<div align="center">
+  <!-- Replace `#` with your actual links -->
+  <a href="https://youtube.com/@devsdocode"><img alt="YouTube" src="https://img.shields.io/badge/YouTube-FF0000?style=for-the-badge&logo=youtube&logoColor=white"></a>
+  <a href="https://t.me/devsdocode"><img alt="Telegram" src="https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white"></a>
+  <a href="https://www.instagram.com/sree.shades_/"><img alt="Instagram" src="https://img.shields.io/badge/Instagram-E4405F?style=for-the-badge&logo=instagram&logoColor=white"></a>
+  <a href="https://www.linkedin.com/in/developer-sreejan/"><img alt="LinkedIn" src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white"></a>
+  <a href="https://buymeacoffee.com/devsdocode"><img alt="Buy Me A Coffee" src="https://img.shields.io/badge/Buy%20Me%20A%20Coffee-FFDD00?style=for-the-badge&logo=buymeacoffee&logoColor=black"></a>
+</div>

config.json

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+{
+  "_name_or_path": "Orenguteng/Lexi-Llama-3-8B-Uncensored",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128256,
+  "eos_token_id": 128257,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 128257,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.40.1",
+  "use_cache": true,
+  "vocab_size": 128258
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128256,
+  "eos_token_id": 128257,
+  "pad_token_id": 128257,
+  "transformers_version": "4.40.1"
+}

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special_tokens_map.json

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