Update README.md

README.md

@@ -14,13 +14,13 @@ language:
 - vi
 - id
 ---
-# FINGU-AI/Qwen2.5-32B-Instruct
+# FINGU-AI/Qwen2.5-32B-Lora-HQ-e-1
 
 ## Overview
-`FINGU-AI/Qwen2.5-32B-Instruct` 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/Qwen2.5-32B-Lora-HQ-e-1` 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/Qwen2.5-32B-Instruct`
+- **Model ID**: `FINGU-AI/Qwen2.5-32B-Lora-HQ-e-1`
 - **Architecture**: Causal Language Model (LM)
 - **Parameters**: 32 billion
 - **Precision**: Torch BF16 for efficient GPU memory usage
@@ -42,7 +42,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
 # Model and Tokenizer
-model_id = 'FINGU-AI/Qwen2.5-32B-Instruct'
+model_id = 'FINGU-AI/Qwen2.5-32B-Lora-HQ-e-1'
 model = AutoModelForCausalLM.from_pretrained(model_id, attn_implementation="sdpa", torch_dtype=torch.bfloat16)
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model.to('cuda')