Update README.md

README.md

@@ -18,7 +18,7 @@ inference: false
 model_creator: MaziyarPanahi
 quantized_by: MaziyarPanahi
 base_model: Qwen/Qwen2-7B
-model_name: Qwen2-7B-Instruct-v0.5
+model_name: calme-2.5-qwen2-7b
 datasets:
 - nvidia/HelpSteer2
 - teknium/OpenHermes-2.5
@@ -28,13 +28,13 @@ datasets:
 
 <img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
-# MaziyarPanahi/Qwen2-7B-Instruct-v0.5
+# MaziyarPanahi/calme-2.5-qwen2-7b
 
 This is a fine-tuned version of the `Qwen/Qwen2-7B` model. It aims to improve the base model across all benchmarks.
 
 # ⚡ Quantized GGUF
 
-All GGUF models are available here: [MaziyarPanahi/Qwen2-7B-Instruct-v0.5-GGUF](https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.5-GGUF)
+All GGUF models are available here: [MaziyarPanahi/calme-2.5-qwen2-7b-GGUF](https://huggingface.co/MaziyarPanahi/calme-2.5-qwen2-7b-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/Qwen2-7B-Instruct-v0.5")
+pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.5-qwen2-7b")
 pipe(messages)
 
 
@@ -76,6 +76,6 @@ pipe(messages)
 
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.5")
-model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.5")
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.5-qwen2-7b")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.5-qwen2-7b")
 ```