--- base_model: Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B datasets: - Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset - Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset - Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface - Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_prompt_text_huggingface - Saxo/ko_aspect_sentiment_sns_mall_sentiment_linkbricks_single_dataset_with_prompt_text_huggingface - Saxo/ko_summarization_linkbricks_single_dataset_with_prompt_text_huggingface - Saxo/OpenOrca_cleaned_kor_linkbricks_single_dataset_with_prompt_text_huggingface - Saxo/ko_government_qa_total_linkbricks_single_dataset_with_prompt_text_huggingface_sampled - Saxo/ko-news-corpus-1 - Saxo/ko-news-corpus-2 - Saxo/ko-news-corpus-3 - Saxo/ko-news-corpus-4 - Saxo/ko-news-corpus-5 - Saxo/ko-news-corpus-6 - Saxo/ko-news-corpus-7 - Saxo/ko-news-corpus-8 - Saxo/ko-news-corpus-9 - maywell/ko_Ultrafeedback_binarized - youjunhyeok/ko-orca-pair-and-ultrafeedback-dpo - lilacai/glaive-function-calling-v2-sharegpt - kuotient/gsm8k-ko language: - ko - en - jp - cn library_name: transformers license: apache-2.0 pipeline_tag: text-generation tags: - llama-cpp - gguf-my-repo --- # netnk9151/Linkbricks-Horizon-AI-Korean-Advanced-12B-Q4_K_M-GGUF This model was converted to GGUF format from [`Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B`](https://huggingface.co./Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co./spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co./Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo netnk9151/Linkbricks-Horizon-AI-Korean-Advanced-12B-Q4_K_M-GGUF --hf-file linkbricks-horizon-ai-korean-advanced-12b-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo netnk9151/Linkbricks-Horizon-AI-Korean-Advanced-12B-Q4_K_M-GGUF --hf-file linkbricks-horizon-ai-korean-advanced-12b-q4_k_m.gguf -c 2048 ``` 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. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` 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). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo netnk9151/Linkbricks-Horizon-AI-Korean-Advanced-12B-Q4_K_M-GGUF --hf-file linkbricks-horizon-ai-korean-advanced-12b-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo netnk9151/Linkbricks-Horizon-AI-Korean-Advanced-12B-Q4_K_M-GGUF --hf-file linkbricks-horizon-ai-korean-advanced-12b-q4_k_m.gguf -c 2048 ```