---
base_model: lianghsun/Llama-3.2-Taiwan-3B
library_name: transformers
datasets:
- lianghsun/tw-novel-1.1B
- lianghsun/tw-finance-159M
- lianghsun/tw-legal-news-24M
- lianghsun/tw-gov-news-90M
- lianghsun/tw-gov-556k
- lianghsun/tw-news-551M
- lianghsun/tw-health-43M
- lianghsun/tw-science-24M
- lianghsun/tw-book-43M
- lianghsun/tw-society-88M
- lianghsun/tw-law-article-evolution
- lianghsun/tw-processed-judgments
- lianghsun/tw-legal-methodology
- lianghsun/tw-legal-qa
- lianghsun/tw-judgment-gist
- lianghsun/reasoning-base-20k
- lianghsun/wikipedia-zh-filtered
- AWeirdDev/zh-tw-pts-articles-sm
- bhxiang/c4_calibrate_mini
- benchang1110/pretrainedtw
- benchang1110/sciencetw
- intfloat/multilingual_cc_news
language:
- zh
- en
license: llama3.2
tags:
- ROC
- Taiwan
- zh-tw
- llama-factory
- llama-cpp
- gguf-my-repo
new_version: lianghsun/Llama-3.2-Taiwan-3B-Instruct
pipeline_tag: text-generation
widget:
- text: 中華民國憲法第一條
---

# itlwas/Llama-3.2-Taiwan-3B-Q4_K_M-GGUF
This model was converted to GGUF format from [`lianghsun/Llama-3.2-Taiwan-3B`](https://huggingface.co./lianghsun/Llama-3.2-Taiwan-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./lianghsun/Llama-3.2-Taiwan-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 itlwas/Llama-3.2-Taiwan-3B-Q4_K_M-GGUF --hf-file llama-3.2-taiwan-3b-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo itlwas/Llama-3.2-Taiwan-3B-Q4_K_M-GGUF --hf-file llama-3.2-taiwan-3b-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 itlwas/Llama-3.2-Taiwan-3B-Q4_K_M-GGUF --hf-file llama-3.2-taiwan-3b-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo itlwas/Llama-3.2-Taiwan-3B-Q4_K_M-GGUF --hf-file llama-3.2-taiwan-3b-q4_k_m.gguf -c 2048
```