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+ ---
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+ license: other
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+ license_name: tongyi-qianwen
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+ license_link: https://huggingface.co/Qwen/Qwen2-7B/blob/main/LICENSE
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ tags:
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+ - chat
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+ - qwen
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+ - qwen2
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+ - finetune
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+ - chatml
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+ - OpenHermes-2.5
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+ - HelpSteer2
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+ - Orca
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+ - SlimOrca
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+ library_name: transformers
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+ 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-v0.2
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+ datasets:
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+ - nvidia/HelpSteer2
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+ - teknium/OpenHermes-2.5
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+ - microsoft/orca-math-word-problems-200k
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+ - Open-Orca/SlimOrca
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+ ---
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+
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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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+
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+ # MaziyarPanahi/Qwen2-7B-Instruct-v0.2
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+
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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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+
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+ # ⚡ Quantized GGUF
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+
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+ All GGUF models are available here: [MaziyarPanahi/Qwen2-7B-Instruct-v0.2](https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.2)
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+
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+ # 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+
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+ coming soon!
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+
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+
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+ # Prompt Template
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+
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+ This model uses `ChatML` prompt template:
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+
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+ ```
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+ <|im_start|>system
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+ {System}
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+ <|im_end|>
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+ <|im_start|>user
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+ {User}
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+ <|im_end|>
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+ <|im_start|>assistant
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+ {Assistant}
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+ ````
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+
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+ # How to use
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+
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+
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+ ```python
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+
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+ # Use a pipeline as a high-level helper
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+
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+ from transformers import pipeline
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+
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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-v0.2")
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+ pipe(messages)
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+
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+
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+ # Load model directly
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+
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+ from transformers import AutoTokenizer, AutoModelForCausalLM
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+
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+ tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.2")
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+ model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.2")
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+ ```