Update README.md

README.md

@@ -1,23 +1,32 @@
 ---
 language:
 - en
-license: apache-2.0
+license: llama2
+library_name: transformers
 tags:
-- text-generation-inference
+- uncensored
 - transformers
-- unsloth
 - llama
-- trl
-base_model: Undi95/Meta-Llama-3-8B-hf
-pipeline_tag: text-generation
+- llama-3
 ---
 
-# Uploaded  model
+# Finetune Meta Llama-3 8b to create an Uncensored Model with Devs Do Code!
 
-- **Developed by:** DevsDoCode
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
+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.
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## Model Details
+- **Model Name:** DevsDoCode/LLama-3-8b-Uncensored
+- **Base Model:** Meta/meta-llama-3-8b
+- **License:** llama2
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+## 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
+from transformers import GPT2Tokenizer, GPT2LMHeadModel
+
+model_name = "DevsDoCode/LLama-3-8b-Uncensored"
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+model = GPT2LMHeadModel.from_pretrained(model_name)
+
+# Now you can generate text using the model!