--- base_model: taide/Llama3-TAIDE-LX-8B-Chat-Alpha1 license: other license_name: llama3-taide-models-community-license-agreement license_link: https://drive.google.com/file/d/12-Q0WWSjG0DW6CqJQm_jr5wUGRLeb-8p/view tags: - llama-cpp - gguf-my-repo extra_gated_heading: 您需要先同意授權條款才能使用此模型 extra_gated_fields: 姓名(Name): text 生日(Date of birth): date_picker 國家(Country): country 所屬單位(Affiliation): text geo: ip_location 按下送出表示您同意社群授權同意書與個人資料蒐集告知聲明(By clicking Submit below I accept the terms of the license and privacy policy): checkbox extra_gated_prompt: '* ### [Llama3-TAIDE 模型社群授權同意書(License)](https://drive.google.com/file/d/12-Q0WWSjG0DW6CqJQm_jr5wUGRLeb-8p/view) * ### [個人資料蒐集告知聲明(Privacy policy)](https://drive.google.com/file/d/1JTfZu_MdU_TR1-1sn2jbQyW7TLrxjwS5/view)' extra_gated_button_content: 送出(Submit) --- # phillip888/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q8_0-GGUF This model was converted to GGUF format from [`taide/Llama3-TAIDE-LX-8B-Chat-Alpha1`](https://huggingface.co/taide/Llama3-TAIDE-LX-8B-Chat-Alpha1) 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/taide/Llama3-TAIDE-LX-8B-Chat-Alpha1) 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 phillip888/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q8_0-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q8_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo phillip888/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q8_0-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-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 phillip888/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q8_0-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q8_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo phillip888/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q8_0-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q8_0.gguf -c 2048 ```