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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B
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datasets:
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- Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset
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- Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset
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- Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface
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- Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_prompt_text_huggingface
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- Saxo/ko_aspect_sentiment_sns_mall_sentiment_linkbricks_single_dataset_with_prompt_text_huggingface
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- Saxo/ko_summarization_linkbricks_single_dataset_with_prompt_text_huggingface
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- Saxo/OpenOrca_cleaned_kor_linkbricks_single_dataset_with_prompt_text_huggingface
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- Saxo/ko_government_qa_total_linkbricks_single_dataset_with_prompt_text_huggingface_sampled
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- Saxo/ko-news-corpus-1
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- Saxo/ko-news-corpus-2
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- Saxo/ko-news-corpus-3
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- Saxo/ko-news-corpus-4
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- Saxo/ko-news-corpus-5
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- Saxo/ko-news-corpus-6
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- Saxo/ko-news-corpus-7
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- Saxo/ko-news-corpus-8
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- Saxo/ko-news-corpus-9
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- maywell/ko_Ultrafeedback_binarized
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- youjunhyeok/ko-orca-pair-and-ultrafeedback-dpo
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- lilacai/glaive-function-calling-v2-sharegpt
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- kuotient/gsm8k-ko
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language:
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- ko
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- en
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- jp
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- cn
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pipeline_tag: text-generation
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tags:
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- llama-cpp
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- gguf-my-repo
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---
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# netnk9151/Linkbricks-Horizon-AI-Korean-Superb-22B-Q4_K_M-GGUF
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This model was converted to GGUF format from [`Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B`](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B) 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/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install 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 netnk9151/Linkbricks-Horizon-AI-Korean-Superb-22B-Q4_K_M-GGUF --hf-file linkbricks-horizon-ai-korean-superb-22b-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 netnk9151/Linkbricks-Horizon-AI-Korean-Superb-22B-Q4_K_M-GGUF --hf-file linkbricks-horizon-ai-korean-superb-22b-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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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo netnk9151/Linkbricks-Horizon-AI-Korean-Superb-22B-Q4_K_M-GGUF --hf-file linkbricks-horizon-ai-korean-superb-22b-q4_k_m.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo netnk9151/Linkbricks-Horizon-AI-Korean-Superb-22B-Q4_K_M-GGUF --hf-file linkbricks-horizon-ai-korean-superb-22b-q4_k_m.gguf -c 2048
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```
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