Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,65 @@
+---
+base_model: taide/TAIDE-LX-7B-Chat
+license: other
+license_name: taide-l-models-community-license-agreement
+license_link: https://drive.google.com/file/d/1FcUZjbUH6jr4xoCyAronN_slLgcdhEUd/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: '* ### [TAIDE L 類模型社群授權同意書(License)](https://drive.google.com/file/d/1FcUZjbUH6jr4xoCyAronN_slLgcdhEUd/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)
+---
+
+# CHE-72/TAIDE-LX-7B-Chat-Q3_K_M-GGUF
+This model was converted to GGUF format from [`taide/TAIDE-LX-7B-Chat`](https://huggingface.co/taide/TAIDE-LX-7B-Chat) 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/TAIDE-LX-7B-Chat) 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 CHE-72/TAIDE-LX-7B-Chat-Q3_K_M-GGUF --hf-file taide-lx-7b-chat-q3_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo CHE-72/TAIDE-LX-7B-Chat-Q3_K_M-GGUF --hf-file taide-lx-7b-chat-q3_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 CHE-72/TAIDE-LX-7B-Chat-Q3_K_M-GGUF --hf-file taide-lx-7b-chat-q3_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo CHE-72/TAIDE-LX-7B-Chat-Q3_K_M-GGUF --hf-file taide-lx-7b-chat-q3_k_m.gguf -c 2048
+```