Update README.md (#10)

- Update README.md (ee230af3585258812d8bad69b756dcc629774b16)

README.md

@@ -14,7 +14,7 @@ tags:
 - GGUF
 inference: false
 model_creator: MaziyarPanahi
-model_name: Qwen2-72B-Instruct-v0.1-GGUF
+model_name: calme-2.1-qwen2-72b-GGUF
 quantized_by: MaziyarPanahi
 license: other
 license_name: tongyi-qianwen
@@ -22,15 +22,15 @@ license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
 ---
 
 
-# MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF
+# MaziyarPanahi/calme-2.1-qwen2-72b-GGUF
 
-The GGUF and quantized models here are based on [MaziyarPanahi/Qwen2-72B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/Qwen2-72B-Instruct-v0.1) model
+The GGUF and quantized models here are based on [MaziyarPanahi/calme-2.1-qwen2-72b](https://huggingface.co/MaziyarPanahi/calme-2.1-qwen2-72b) model
 
 ## How to download
 You can download only the quants you need instead of cloning the entire repository as follows:
 
 ```
-huggingface-cli download MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF --local-dir . --include '*Q2_K*gguf'
+huggingface-cli download MaziyarPanahi/calme-2.1-qwen2-72b-GGUF --local-dir . --include '*Q2_K*gguf'
 ```
 
 ## Load GGUF models
@@ -49,13 +49,13 @@ You `MUST` follow the prompt template provided by Llama-3:
 
 ---
 
-# MaziyarPanahi/Qwen2-72B-Instruct-v0.1
+# MaziyarPanahi/calme-2.1-qwen2-72b
 
 This is a fine-tuned version of the `Qwen/Qwen2-72B-Instruct` model. It aims to improve the base model across all benchmarks.
 
 # ⚡ Quantized GGUF
 
-All GGUF models are available here: [MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF)
+All GGUF models are available here: [MaziyarPanahi/calme-2.1-qwen2-72b-GGUF](https://huggingface.co/MaziyarPanahi/calme-2.1-qwen2-72b-GGUF)
 
 # 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
 
@@ -106,7 +106,7 @@ from transformers import pipeline
 messages = [
     {"role": "user", "content": "Who are you?"},
 ]
-pipe = pipeline("text-generation", model="MaziyarPanahi/Qwen2-72B-Instruct-v0.1")
+pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.1-qwen2-72b")
 pipe(messages)
 
 
@@ -114,6 +114,6 @@ pipe(messages)
 
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-72B-Instruct-v0.1")
-model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-72B-Instruct-v0.1")
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.1-qwen2-72b")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.1-qwen2-72b")
 ```