Update README.md

README.md

@@ -1,13 +1,13 @@
 ---
 license: mit
 ---
-# FINGU-AI/Qwen2.5-7B-M
+# FINGU-AI/BNK_Translate_LLM_V3
 
 ## Overview
-`FINGU-AI/Qwen2.5-7B-M` is a powerful causal language model designed for a variety of natural language processing (NLP) tasks, including machine translation, text generation, and chat-based applications. This model is particularly useful for translating between Korean and Uzbek, as well as supporting other custom NLP tasks through flexible input.
+`FINGU-AI/BNK_Translate_LLM_V3` is a powerful causal language model designed for a variety of natural language processing (NLP) tasks, including machine translation, text generation, and chat-based applications. This model is particularly useful for translating between Korean and Uzbek, as well as supporting other custom NLP tasks through flexible input.
 
 ## Model Details
-- **Model ID**: `FINGU-AI/Qwen2.5-7B-M`
+- **Model ID**: `FINGU-AI/BNK_Translate_LLM_V3`
 - **Architecture**: Causal Language Model (LM)
 - **Parameters**: 7 billion
 - **Precision**: Torch BF16 for efficient GPU memory usage
@@ -29,7 +29,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
 # Model and Tokenizer
-model_id = 'FINGU-AI/Qwen2.5-7B-M'
+model_id = 'FINGU-AI/BNK_Translate_LLM_V3'
 model = AutoModelForCausalLM.from_pretrained(model_id, attn_implementation="sdpa", torch_dtype=torch.bfloat16)
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model.to('cuda')