yentinglin/llama-3-taiwan-70b-instruct
RUN ANYWHERE
Sovereign AI model finetuned on Traditional Mandarin and English data using the Llama-3 architecture.
By running the below commands, you accept the NVIDIA AI Enterprise Terms of Use and the NVIDIA Community Models License.
Pull and run yentinglin/llama-3-taiwan-70b-instruct
using Docker (this will download the full model and run it in your local environment)
$ docker login nvcr.io Username: $oauthtoken Password: <PASTE_API_KEY_HERE>
Pull and run the NVIDIA NIM with the command below. This will download the optimized model for your infrastructure.
export NGC_API_KEY=<PASTE_API_KEY_HERE> export LOCAL_NIM_CACHE=~/.cache/nim mkdir -p "$LOCAL_NIM_CACHE" docker run -it --rm \ --gpus all \ --shm-size=16GB \ -e NGC_API_KEY \ -v "$LOCAL_NIM_CACHE:/opt/nim/.cache" \ -u $(id -u) \ -p 8000:8000 \ nvcr.io/nim/yentinglin/llama-3-taiwan-70b-instruct:latest
You can now make a local API call using this curl command:
curl -X 'POST' \ 'http://0.0.0.0:8000/v1/chat/completions' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -d '{ "model": "yentinglin/llama-3-taiwan-70b-instruct", "messages": [{"role":"user", "content":"台灣的夜市文化有什麼特色?"}], "max_tokens": 64 }'
For more details on getting started with this NIM, visit the NVIDIA NIM Docs.