Update README.md

README.md

@@ -20,7 +20,7 @@ language:
 | **Attention heads** | 128 |
 | **KV groups** | 64 |
 | **Context length** | 256 |
-| **Tokenizer** | [turkish_tokenizer (alibayram)](https://github.com/alibayram/turkish_tokenizer) |
+| **Tokenizer** | [turkish_tokenizer (alibayram)](https://github.com/malibayram/turkish-tokenizer) |
 | **Dataset** | [alibayram/tr_books](https://huggingface.co/datasets/alibayram/tr_books) |
 | **Tokens seen** | 372,679,971 |
 | **Epochs** | 2 |
@@ -32,7 +32,7 @@ language:
 ## Model Description
 
 `llama-50m-turkish-books` is a **50 million parameter Turkish language model** trained from scratch on the `alibayram/tr_books` dataset.  
-It was developed as a lightweight experimental model to explore **Turkish-specific tokenization and morphology-aware pretraining** using the custom [turkish_tokenizer](https://github.com/alibayram/turkish_tokenizer).
+It was developed as a lightweight experimental model to explore **Turkish-specific tokenization and morphology-aware pretraining** using the custom [turkish_tokenizer](https://github.com/malibayram/turkish-tokenizer).
 
 The model follows the **LLaMA-style causal transformer** architecture and was trained with a context length of 256 tokens over ~372M tokens in total.