Update README.md

README.md

@@ -10,9 +10,15 @@ base_model:
 - datatab/Serbian-Mistral-Orca-Slim-v1
 - mlabonne/AlphaMonarch-7B
 - datatab/YugoGPT-Alpaca-v1-epoch1-good
+license: mit
+datasets:
+- datatab/alpaca-cleaned-serbian-full
+- datatab/open-orca-slim-serbian
+language:
+- sr
 ---
 
-# datatab/Serbian-Mistral-Orca-Slim-v1
+# datatab/Yugo55-GPT-v4
 
 datatab/Serbian-Mistral-Orca-Slim-v1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [datatab/Serbian-Mistral-Orca-Slim-v1](https://huggingface.co/datatab/Serbian-Mistral-Orca-Slim-v1)
@@ -39,24 +45,5 @@ dtype: float16
 ## 💻 Usage
 
 ```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "datatab/datatab/Serbian-Mistral-Orca-Slim-v1"
-messages = [{"role": "user", "content": "What is a large language model?"}]
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
-print(outputs[0]["generated_text"])
+# TBD
 ```