metadata
library_name: transformers
license: apache-2.0
base_model: Saxo/Linkbricks-Horizon-AI-Korean-Pro-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
pipeline_tag: text-generation
tags:
- TensorBlock
- GGUF
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
Saxo/Linkbricks-Horizon-AI-Korean-Pro-12B - GGUF
This repo contains GGUF format model files for Saxo/Linkbricks-Horizon-AI-Korean-Pro-12B.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<s>[INST]{system_prompt}
{prompt}[/INST]
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q2_K.gguf | Q2_K | 4.791 GB | smallest, significant quality loss - not recommended for most purposes |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q3_K_S.gguf | Q3_K_S | 5.534 GB | very small, high quality loss |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q3_K_M.gguf | Q3_K_M | 6.083 GB | very small, high quality loss |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q3_K_L.gguf | Q3_K_L | 6.562 GB | small, substantial quality loss |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q4_0.gguf | Q4_0 | 7.072 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q4_K_S.gguf | Q4_K_S | 7.120 GB | small, greater quality loss |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q4_K_M.gguf | Q4_K_M | 7.477 GB | medium, balanced quality - recommended |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q5_0.gguf | Q5_0 | 8.519 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q5_K_S.gguf | Q5_K_S | 8.519 GB | large, low quality loss - recommended |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q5_K_M.gguf | Q5_K_M | 8.728 GB | large, very low quality loss - recommended |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q6_K.gguf | Q6_K | 10.056 GB | very large, extremely low quality loss |
| Linkbricks-Horizon-AI-Korean-Pro-12B-Q8_0.gguf | Q8_0 | 13.022 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/Linkbricks-Horizon-AI-Korean-Pro-12B-GGUF --include "Linkbricks-Horizon-AI-Korean-Pro-12B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:
huggingface-cli download tensorblock/Linkbricks-Horizon-AI-Korean-Pro-12B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'