Update README.md

README.md

@@ -6,23 +6,35 @@ tags: []
 
 # Nox
 
-Nox is a tool designed to facilitate fine tuning of various solar models.
-
-## Features
-- Supports fullfinetune, lora, qlora
-- Supports Supervised Fine-Tuning, DPO Training
-- High-quality ko dataset
-- Ko Evaluation dataset and code
-
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64241c3d774cc340797429fc/u60xmpVM1K0AtPXZtw8b4.jpeg)
 
+The nox project is a set of tools that make it easy to use various fine tuning technologies using solar models.
+We constructed ko data using grammatically accurate data.(It's not perfect, but I tried my best.) 
+And we created nox-solar model using a fine-tuning technique(sft,dpo) Our model, the nox-solar model, ranked first on the [Open Ko-LLM Leaderboard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard).
 
 Currently, we are planning to make all code and datasets public. 
 
 Through this, users are expected to be able to freely conduct research and development using Nox. 
 
-I'll be back soon.
 
 
 ## Model Details
 
-(will be updated soon.)
+* **Model Developers** :  davidkim(changyeon kim)
+* **Repository** : https://github.com/davidkim205/nox(will be updated soon.)
+* **base mode** : Edentns/DataVortexS-10.7B-dpo-v1.11
+* **sft dataset** : komt-124k(will be updated soon.)
+* **dpo dataset** : comparison_v2_289k(will be updated soon.)
+* **evalution** : [kollm_evalution](https://github.com/davidkim205/kollm_evaluation)
+* **evalution dataset** : [open-ko-llm-leaderboard datasets](https://huggingface.co/collections/davidkim205/open-ko-llm-leaderboard-datasets-65eea9e87fc3ae80787ee15a)
+
+## Evaluation
+### [The Open Ko-LLM Leaderboard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard)
+| Model                          | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| ------------------------------ | ------- | ------ | ------------ | ------- | ------------- | --------------- |
+| davidkim205/nox-solar-10.7b-v4 | 67.77   | 73.55  | 72.07        | 57.93   | 79.32         | 55.96           |
+
+
+
+### [kollm_evalution](https://github.com/davidkim205/kollm_evalution)
+(will be updated soon.)