Update README.md (#3)

- Update README.md (dae65e1dc9057ec3c3f4f491d686bc697c6309da)

README.md

@@ -26,14 +26,14 @@ datasets:
 
 <img src="./calme_3.png" alt="Calme-3 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
-# MaziyarPanahi/calme-3.1-instruct-3b
+# MaziyarPanahi/calme-3.1-baguette-3b
 
 This model is an advanced iteration of the powerful `Qwen/Qwen2.5-3B`, specifically fine-tuned to enhance its capabilities in generic domains.
 
 
 # ⚡ Quantized GGUF
 
-All GGUF models are available here: [MaziyarPanahi/calme-3.1-instruct-3b-GGUF](https://huggingface.co/MaziyarPanahi/calme-3.1-instruct-3b-GGUF)
+All GGUF models are available here: [MaziyarPanahi/calme-3.1-baguette-3b-GGUF](https://huggingface.co/MaziyarPanahi/calme-3.1-baguette-3b-GGUF)
 
 
 # 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
@@ -68,7 +68,7 @@ from transformers import pipeline
 messages = [
     {"role": "user", "content": "Who are you?"},
 ]
-pipe = pipeline("text-generation", model="MaziyarPanahi/calme-3.1-instruct-3b")
+pipe = pipeline("text-generation", model="MaziyarPanahi/calme-3.1-baguette-3b")
 pipe(messages)
 
 
@@ -76,8 +76,8 @@ pipe(messages)
 
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-3.1-instruct-3b")
-model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-3.1-instruct-3b")
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-3.1-baguette-3b")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-3.1-baguette-3b")
 ```