Update README.md

README.md

@@ -3,9 +3,9 @@ library_name: transformers
 license: apache-2.0
 ---
 
-# Model card for Mistral-Instruct-Ukrainian-SFT
+# Model card for MisterUkrainianDPO
 
-Supervised finetuning of Mistral-7B-Instruct-v0.2 on Ukrainian datasets.
+DPO Iteration of [MisterUkrainian](https://huggingface.co/Radu1999/MisterUkrainian)
 
 
 ## Instruction format
@@ -25,13 +25,7 @@ This instruction model is based on Mistral-7B-v0.2, a transformer model with the
 - Sliding-Window Attention
 - Byte-fallback BPE tokenizer
 
-## Datasets
-- [UA-SQUAD](https://huggingface.co/datasets/FIdo-AI/ua-squad/resolve/main/ua_squad_dataset.json)
-- [Ukrainian StackExchange](https://huggingface.co/datasets/zeusfsx/ukrainian-stackexchange)
-- [UAlpaca Dataset](https://github.com/robinhad/kruk/blob/main/data/cc-by-nc/alpaca_data_translated.json)
-- [Ukrainian Subset from Belebele Dataset](https://github.com/facebookresearch/belebele)
-- [Ukrainian Subset from XQA](https://github.com/thunlp/XQA)
-  
+
 ## 💻 Usage
 
 ```python
@@ -41,7 +35,7 @@ from transformers import AutoTokenizer
 import transformers
 import torch
 
-model = "Radu1999/Mistral-Instruct-Ukrainian-SFT"
+model = "Radu1999/MisterUkrainianDPO"
 messages = [{"role": "user", "content": "What is a large language model?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)