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README.md
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---
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base_model: taide/Llama3-TAIDE-LX-8B-Chat-Alpha1
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license: other
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license_name: llama3-taide-models-community-license-agreement
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license_link: https://drive.google.com/file/d/12-Q0WWSjG0DW6CqJQm_jr5wUGRLeb-8p/view
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tags:
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- llama-cpp
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- gguf-my-repo
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extra_gated_heading: 您需要先同意授權條款才能使用此模型
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extra_gated_fields:
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姓名(Name): text
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生日(Date of birth): date_picker
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國家(Country): country
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所屬單位(Affiliation): text
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geo: ip_location
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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
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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)
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* ### [個人資料蒐集告知聲明(Privacy policy)](https://drive.google.com/file/d/1JTfZu_MdU_TR1-1sn2jbQyW7TLrxjwS5/view)'
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extra_gated_button_content: 送出(Submit)
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---
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# gonjo9/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q4_K_M-GGUF
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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.
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Refer to the [original model card](https://huggingface.co/taide/Llama3-TAIDE-LX-8B-Chat-Alpha1) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo gonjo9/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q4_K_M-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q4_k_m.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo gonjo9/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q4_K_M-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q4_k_m.gguf -c 2048
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```
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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.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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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).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo gonjo9/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q4_K_M-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q4_k_m.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo gonjo9/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q4_K_M-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q4_k_m.gguf -c 2048
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```
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