Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
+base_model: unsloth/llama-3.2-3b-Instruct
 tags:
 - text-generation-inference
 - transformers
@@ -9,14 +9,38 @@ tags:
 license: apache-2.0
 language:
 - en
+datasets:
+- davzoku/moecule-kyc
 ---
 
-# Uploaded  model
+# 🫐🥫 kyc_adapter_3b
 
-- **Developed by:** davzoku
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
+<p align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/63c51d0e72db0f638ff1eb82/yLsrUZma5WnLzJrhI6ldZ.png" width="150" height="150" alt="logo">
+</p>
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## Model Details
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+This is a LoRA adapter for [Moecule](https://huggingface.co/collections/davzoku/moecule-67dabc6bb469dcd00ad2a7c5) family of MoE models.
+
+It is part of [Moecule Ingredients](https://huggingface.co/collections/davzoku/moecule-ingredients-67dac0e6210eb1d95abc6411) and all relevant expert models, LoRA adapters, and datasets can be found there.
+
+### Additional Information
+
+- QLoRA 4-bit fine-tuning with Unsloth
+- Base Model: `unsloth/llama-3.2-3b-Instruct`
+
+## The Team
+
+- CHOCK Wan Kee
+- Farlin Deva Binusha DEVASUGIN MERLISUGITHA
+- GOH Bao Sheng
+- Jessica LEK Si Jia
+- Sinha KHUSHI
+- TENG Kok Wai (Walter)
+
+## References
+
+- [Unsloth Tutorial](https://docs.unsloth.ai/basics/tutorial-how-to-finetune-llama-3-and-use-in-ollama)
+
+- [Unsloth Finetuning Colab Notebook](<https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_(8B)-Ollama.ipynb#scrollTo=uMuVrWbjAzhc>)