transformers gguf llama-cpp gguf-my-repo text-generation ko en jp cn dataset:Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset dataset:Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset dataset:Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface dataset:Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_prompt_text_huggingface dataset:Saxo/ko_aspect_sentiment_sns_mall_sentiment_linkbricks_single_dataset_with_prompt_text_huggingface dataset:Saxo/ko_summarization_linkbricks_single_dataset_with_prompt_text_huggingface dataset:Saxo/OpenOrca_cleaned_kor_linkbricks_single_dataset_with_prompt_text_huggingface dataset:Saxo/ko_government_qa_total_linkbricks_single_dataset_with_prompt_text_huggingface_sampled dataset:Saxo/ko-news-corpus-1 dataset:Saxo/ko-news-corpus-2 dataset:Saxo/ko-news-corpus-3 dataset:Saxo/ko-news-corpus-4 dataset:Saxo/ko-news-corpus-5 dataset:Saxo/ko-news-corpus-6 dataset:Saxo/ko-news-corpus-7 dataset:Saxo/ko-news-corpus-8 dataset:Saxo/ko-news-corpus-9 dataset:maywell/ko_Ultrafeedback_binarized dataset:youjunhyeok/ko-orca-pair-and-ultrafeedback-dpo dataset:lilacai/glaive-function-calling-v2-sharegpt dataset:kuotient/gsm8k-ko base_model:Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B base_model:quantized:Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B license:apache-2.0 endpoints_compatible region:us conversational
---
base_model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B
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-Superb-22B-Q4_K_M-GGUF
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.
Refer to the [original model card](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B) 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-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"
```

### Server:
```bash
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
```

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-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"
```
or 
```
./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
```
