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--- |
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license: mit |
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base_model: JEJUMA/JEJUMA-002 |
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tags: |
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- gguf |
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- Dialect |
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- Language |
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model-index: |
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- name: joongi007/JEJUMA-002-GGUF |
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results: [] |
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language: |
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- ko |
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pipeline_tag: text-generation |
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--- |
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- Original model is [JEJUMA/JEJUMA-002](https://huggingface.co/JEJUMA/JEJUMA-002) - [bbd7ec2](https://huggingface.co/JEJUMA/JEJUMA-002/tree/bbd7ec2d14c9074cfe72aeaeb113f8530f070cf8) |
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- quantized using [llama.cpp](https://github.com/ggerganov/llama.cpp) - [b3542](https://github.com/ggerganov/llama.cpp/releases/tag/b3542) |
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- JEJUMA Official Quantization is [JEJUMA/JEJUMA-002-GGUF](https://huggingface.co/JEJUMA/JEJUMA-002-GGUF) |
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- After trying out this model, I noticed a few things: |
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1. It's more like a translation model. You can't chat with it, it only does translations. |
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2. It can only handle one dialect (or standard Korean) at a time. |
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3. Don't expect a conversation. It's strictly for translation purposes! Look at the example below! |
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system prompt |
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``` |
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Answer your questions using the Jeju dialect. |
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``` |
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user question |
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``` |
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hello! How are you doing now? |
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``` |
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assistant answer |
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``` |
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ํ์ฏค ํ๊ณผ๊ฒ |
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# ํ ์ ๋ง์ต๋๊น |
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``` |
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Prompt(LM Studio) |
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```prompt |
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<|start_header_id|>system<|end_header_id|> |
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{System} |
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<|eot_id|><|start_header_id|>user<|end_header_id|> |
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{User} |
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<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
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{Assistant} |
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``` |
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Example of User Prompts |
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````example |
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Detect the following sentence or word is standard, jeju, chungcheong, gangwon, gyeongsang, or jeonla's dialect: |
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``` |
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{Enter the Jeju island dialect or standard Korean here} |
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``` |
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```` |
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````example |
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Detect the following sentence or word is which dialect and convert the following sentence or word to standard Korean: |
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``` |
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{Enter Jeju island dialect or standard Korean here} |
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``` |
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```` |