End of training

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: unsloth/qwen2.5-32b-instruct-bnb-4bit
+base_model: unsloth/Qwen2.5-72B-Instruct-bnb-4bit
 library_name: transformers
-model_name: qwen32b_trackb_dadosORIGINAISINGLESeALEMAO_3epocas
+model_name: qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_3epocas_
 tags:
 - generated_from_trainer
 - unsloth
@@ -10,9 +10,9 @@ tags:
 licence: license
 ---
 
-# Model Card for qwen32b_trackb_dadosORIGINAISINGLESeALEMAO_3epocas
+# Model Card for qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_3epocas_
 
-This model is a fine-tuned version of [unsloth/qwen2.5-32b-instruct-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-32b-instruct-bnb-4bit).
+This model is a fine-tuned version of [unsloth/Qwen2.5-72B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Qwen2.5-72B-Instruct-bnb-4bit).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -21,7 +21,7 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
 from transformers import pipeline
 
 question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="SEMEVAL-11/qwen32b_trackb_dadosORIGINAISINGLESeALEMAO_3epocas", device="cuda")
+generator = pipeline("text-generation", model="SEMEVAL-11/qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_3epocas_", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```