meta/codellama-70b
RUN ANYWHERE
LLM capable of generating code from natural language and vice versa.
By running the below commands, you accept the NVIDIA AI Enterprise Terms of Use and the NVIDIA Community Models License.
Pull and run meta/codellama-70b
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/meta/codellama-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": "codellama/codellama-70b-instruct", "messages": [{"role":"user", "content":"Write a Python function to calculate the factorial of a number."}], "max_tokens": 64 }'
For more details on getting started with this NIM, visit the NVIDIA NIM Docs.