How to use GoofyLM/N2-Nemo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GoofyLM/N2-Nemo")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GoofyLM/N2-Nemo", dtype="auto")
How to use GoofyLM/N2-Nemo with vLLM:
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GoofyLM/N2-Nemo" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GoofyLM/N2-Nemo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
docker model run hf.co/GoofyLM/N2-Nemo
How to use GoofyLM/N2-Nemo with SGLang:
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "GoofyLM/N2-Nemo" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GoofyLM/N2-Nemo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "GoofyLM/N2-Nemo" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GoofyLM/N2-Nemo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
How to use GoofyLM/N2-Nemo with Docker Model Runner:
Bro, i CANT write model cards! Also, the model is like... 2B parameters? idk why is under 0.5b. No. is not CoT this time. Um... feel free to write one after testing the model. why not?
Files info