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--- |
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license: apache-2.0 |
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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-v0.3 |
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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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<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-v0.3 |
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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-v0.3](https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.3) |
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# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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coming soon! |
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# Prompt Template |
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This model uses `ChatML` prompt template: |
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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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# How to use |
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```python |
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# Use a pipeline as a high-level helper |
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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-v0.3") |
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pipe(messages) |
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# Load model directly |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.3") |
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model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.3") |
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``` |
