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README.md
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---
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language:
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- ko
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- en
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license:
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- apache-2.0
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- gemma
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tags:
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- gemma
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- llama-cpp
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- gguf-my-repo
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datasets:
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- traintogpb/aihub-koen-translation-integrated-base-10m
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pipeline_tag: translation
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widget:
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- text: 'Korean:
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나라의 말이 중국과 달라 문자와 서로 통하지 아니하다.
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English:
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'
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example_title: K2E
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- text: 'English:
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Mr. and Mrs. Dursley were proud to say that they were perfectly normal.
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Korean:
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'
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example_title: E2K
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inference:
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parameters:
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max_length: 200
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---
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# DevWorld/Gemago-2b-Q4_K_M-GGUF
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This model was converted to GGUF format from [`DevWorld/Gemago-2b`](https://huggingface.co/DevWorld/Gemago-2b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/DevWorld/Gemago-2b) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew.
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```bash
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brew install ggerganov/ggerganov/llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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CLI:
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```bash
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llama-cli --hf-repo DevWorld/Gemago-2b-Q4_K_M-GGUF --model gemago-2b.Q4_K_M.gguf -p "The meaning to life and the universe is"
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```
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Server:
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```bash
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llama-server --hf-repo DevWorld/Gemago-2b-Q4_K_M-GGUF --model gemago-2b.Q4_K_M.gguf -c 2048
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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```
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m gemago-2b.Q4_K_M.gguf -n 128
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```
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