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---
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-Q4_K_M-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-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"
```

### Server:
```bash
llama-server --hf-repo phillip888/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q4_K_M-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q4_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 phillip888/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"
```
or 
```
./llama-server --hf-repo phillip888/Llama3-TAIDE-LX-8B-Chat-Alpha1-Q4_K_M-GGUF --hf-file llama3-taide-lx-8b-chat-alpha1-q4_k_m.gguf -c 2048
```