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Update README.md

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  1. README.md +6 -6
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@@ -18,7 +18,7 @@ inference: false
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  model_creator: MaziyarPanahi
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  quantized_by: MaziyarPanahi
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  base_model: Qwen/Qwen2-7B
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- model_name: Qwen2-7B-Instruct-v0.5
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  datasets:
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  - nvidia/HelpSteer2
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  - teknium/OpenHermes-2.5
@@ -28,13 +28,13 @@ datasets:
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  <img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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- # MaziyarPanahi/Qwen2-7B-Instruct-v0.5
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  This is a fine-tuned version of the `Qwen/Qwen2-7B` model. It aims to improve the base model across all benchmarks.
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  # ⚡ Quantized GGUF
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- All GGUF models are available here: [MaziyarPanahi/Qwen2-7B-Instruct-v0.5-GGUF](https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.5-GGUF)
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  # 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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@@ -68,7 +68,7 @@ from transformers import pipeline
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  messages = [
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  {"role": "user", "content": "Who are you?"},
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  ]
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- pipe = pipeline("text-generation", model="MaziyarPanahi/Qwen2-7B-Instruct-v0.5")
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  pipe(messages)
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@@ -76,6 +76,6 @@ pipe(messages)
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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- tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.5")
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- model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.5")
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  ```
 
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  model_creator: MaziyarPanahi
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  quantized_by: MaziyarPanahi
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  base_model: Qwen/Qwen2-7B
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+ model_name: calme-2.5-qwen2-7b
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  datasets:
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  - nvidia/HelpSteer2
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  - teknium/OpenHermes-2.5
 
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  <img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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+ # MaziyarPanahi/calme-2.5-qwen2-7b
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  This is a fine-tuned version of the `Qwen/Qwen2-7B` model. It aims to improve the base model across all benchmarks.
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  # ⚡ Quantized GGUF
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+ All GGUF models are available here: [MaziyarPanahi/calme-2.5-qwen2-7b-GGUF](https://huggingface.co/MaziyarPanahi/calme-2.5-qwen2-7b-GGUF)
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  # 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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  messages = [
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  {"role": "user", "content": "Who are you?"},
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  ]
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+ pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.5-qwen2-7b")
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  pipe(messages)
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.5-qwen2-7b")
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+ model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.5-qwen2-7b")
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  ```