Update README.md

README.md

@@ -1,3 +1,56 @@
 ---
 license: cc-by-nc-4.0
----
+datasets:
+- kyujinpy/KOR-OpenOrca-Platypus-v3
+- beomi/KoAlpaca-v1.1a
+- maywell/ko_wikidata_QA
+language:
+- ko
+base_model: beomi/Yi-Ko-6B
+---
+
+# Yi-Ko-6B-Instruct-v1.0
+
+## Model Details
+
+### Base Model
+[beomi/Yi-Ko-6B](https://huggingface.co/beomi/Yi-Ko-6B)
+
+### Training Dataset
+1. [kyujinpy/KOR-OpenOrca-Platypus-v3](https://huggingface.co/datasets/kyujinpy/KOR-OpenOrca-Platypus-v3) 🙇
+2. [beomi/KoAlpaca-v1.1a](https://huggingface.co/datasets/beomi/KoAlpaca-v1.1a) 🙇
+3. [maywell/ko_wikidata_QA](https://huggingface.co/datasets/maywell/ko_wikidata_QA) 🙇
+4. AIHub MRC 데이터 선별 후 Instruction Format 맞게 변경 후 사용
+
+## Benchmark Results
+
+### AI-Harness Evaluation  
+https://github.com/Beomi/ko-lm-evaluation-harness 
+  
+| Model | BoolQ | Copa | HellaSwag | Sentineg | 
+| --- | --- | --- | --- | --- | 
+|  | *Zero-shot* ||||
+| Yi-Ko-6B-Instruct-v1.0 | 0.6619 | 0.7794 | 0.4858 | 0.4589 | 
+| Yi-Ko-6B | 0.7070 | 0.7696 | 0.5009 | 0.4044 | 
+
+## Instruction Format
+```python
+### User:
+{instruction}
+
+### Assistant:
+{response}
+```
+
+## Loading the Model
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("wkshin89/Yi-Ko-6B-Instruct-v1.0")
+model = AutoModelForCausalLM.from_pretrained(
+    "wkshin89/Yi-Ko-6B-Instruct-v1.0",
+    device_map="auto",
+    torch_dtype=torch.bfloat16,
+)
+```