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README.md

@@ -1,22 +1,30 @@
 ---
+library_name: peft
 base_model: unsloth/llama-3.2-3b-instruct-bnb-4bit
 tags:
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- trl
+- network-configuration
+- networking
+- lora
+- adapter
 license: apache-2.0
-language:
-- en
 ---
 
-# Uploaded  model
+# Network Configuration Analysis LoRA Adapter
 
-- **Developed by:** WaiLwin
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-bnb-4bit
+LoRA adapter for network configuration analysis, optimized for memory efficiency.
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## Usage
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+```python
+from peft import PeftModel
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-3b-instruct-bnb-4bit")
+tokenizer = AutoTokenizer.from_pretrained("unsloth/llama-3.2-3b-instruct-bnb-4bit")
+model = PeftModel.from_pretrained(base_model, "WaiLwin/network-model-adapter")
+```
+
+## Training Details
+- Optimized for Google Colab memory constraints
+- LoRA Rank: 8, Alpha: 8
+- Max Sequence Length: 1024