Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: Saxo/Linkbricks-Llama3.2-Korean-cpt-3b
+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:
+- llama-cpp
+- gguf-my-repo
+---
+
+# kenonix/Linkbricks-Llama3.2-Korean-cpt-3b-Q8_0-GGUF
+This model was converted to GGUF format from [`Saxo/Linkbricks-Llama3.2-Korean-cpt-3b`](https://huggingface.co/Saxo/Linkbricks-Llama3.2-Korean-cpt-3b) 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-Llama3.2-Korean-cpt-3b) 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 kenonix/Linkbricks-Llama3.2-Korean-cpt-3b-Q8_0-GGUF --hf-file linkbricks-llama3.2-korean-cpt-3b-q8_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo kenonix/Linkbricks-Llama3.2-Korean-cpt-3b-Q8_0-GGUF --hf-file linkbricks-llama3.2-korean-cpt-3b-q8_0.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 kenonix/Linkbricks-Llama3.2-Korean-cpt-3b-Q8_0-GGUF --hf-file linkbricks-llama3.2-korean-cpt-3b-q8_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo kenonix/Linkbricks-Llama3.2-Korean-cpt-3b-Q8_0-GGUF --hf-file linkbricks-llama3.2-korean-cpt-3b-q8_0.gguf -c 2048
+```