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README.md
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---
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base_model:
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- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
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tags:
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- merge
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- mergekit
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---
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#
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* [BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference](https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference)
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## 🧩 Configuration
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import torch
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model = "AELLM/gemma-2-lyco-infinity-9b"
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messages = [{"role": "user", "content": "
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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---
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base_model:
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- recoilme/recoilme-gemma-2-9B-v0.4
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- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
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library_name: transformers
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tags:
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- merge
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- mergekit
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language:
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- en
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# Gemma 2 Lyco Infinity 9B
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Gemma 2 Lyco Infinity 9B is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
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* [recoilme/recoilme-gemma-2-9B-v0.4](https://huggingface.co/recoilme/recoilme-gemma-2-9B-v0.4)
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* [BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference](https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference)
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## 🧩 Configuration
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import torch
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model = "AELLM/gemma-2-lyco-infinity-9b"
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messages = [{"role": "user", "content": "You're an AI assistant for a time traveler. How do you help them blend into different historical eras without causing any time paradoxes?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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