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- ---
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- license: gemma
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: microsoft/Phi-3.5-mini-instruct
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+ language:
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+ - multilingual
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+ library_name: transformers
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+ license: gemma
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+ license_link: https://ai.google.dev/gemma/terms
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+ pipeline_tag: text-generation
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+ tags:
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+ - nlp
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+ - code
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+ quantized_by: ymcki
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+ widget:
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+ - messages:
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+ - role: user
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+ content: Can you provide ways to eat combinations of bananas and dragonfruits?
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+ ---
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+
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+ Original model: https://huggingface.co/google/gemma-2-2b-jpn-it
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+
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+ Run them in [LM Studio](https://lmstudio.ai/)
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+
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+ ## Prompt format
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+
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+ ```
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+ <|system|> {system_prompt}<|end|><|user|> {prompt}<|end|><|assistant|>
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+ ```
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+
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+ ## Download a file (not the whole branch) from below:
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+
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+ | Filename | Quant type | File Size | Split | Description |
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+ | -------- | ---------- | --------- | ----- | ----------- |
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+ | [gemma-2-2b-jpn-it-f16.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUFP/blob/main/gemma-2-2b-jpn-it-f16.gguf) | f16 | 5.24GB | false | Full F16 weights. |
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+ | [gemma-2-2b-jpn-it-Q8_0.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUFP/blob/main/gemma-2-2b-jpn-it-Q8_0.gguf) | Q8_0 | 2.78GB | false | Extremely high quality, *recommended*. |
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+
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+ ## Downloading using huggingface-cli
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+
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+ First, make sure you have hugginface-cli installed:
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+
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+ ```
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+ pip install -U "huggingface_hub[cli]"
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+ ```
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+
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+ Then, you can target the specific file you want:
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+
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+ ```
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+ huggingface-cli download ymcki/gemma-2-2b-jpn-it-GGUF --include "gemma-2-2b-jpn-it-Q8_0.gguf" --local-dir ./
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+ ```
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+
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+ ## Credits
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+
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+ Thank you bartowski for providing a README.md to get me started.