Text Generation
Transformers
Safetensors
English
nvidia
nemotron
two-tower
nvfp4
modelopt
atlas
8-bit precision
Instructions to use syscall42/nemotron-twotower-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syscall42/nemotron-twotower-nvfp4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="syscall42/nemotron-twotower-nvfp4")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("syscall42/nemotron-twotower-nvfp4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use syscall42/nemotron-twotower-nvfp4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "syscall42/nemotron-twotower-nvfp4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "syscall42/nemotron-twotower-nvfp4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/syscall42/nemotron-twotower-nvfp4
- SGLang
How to use syscall42/nemotron-twotower-nvfp4 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "syscall42/nemotron-twotower-nvfp4" \ --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": "syscall42/nemotron-twotower-nvfp4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
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 "syscall42/nemotron-twotower-nvfp4" \ --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": "syscall42/nemotron-twotower-nvfp4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use syscall42/nemotron-twotower-nvfp4 with Docker Model Runner:
docker model run hf.co/syscall42/nemotron-twotower-nvfp4
| { | |
| "producer": { | |
| "name": "modelopt", | |
| "version": "0.46.0.dev129+g973cb09cb" | |
| }, | |
| "quantization": { | |
| "quant_algo": "NVFP4", | |
| "kv_cache_quant_algo": null, | |
| "group_size": 16, | |
| "exclude_modules": [ | |
| "context_lm_head", | |
| "context_tower.embeddings", | |
| "context_tower.layers.0*", | |
| "context_tower.layers.1.mixer.gate", | |
| "context_tower.layers.1.mixer.shared_experts*", | |
| "context_tower.layers.10.mixer.gate", | |
| "context_tower.layers.10.mixer.shared_experts*", | |
| "context_tower.layers.11*", | |
| "context_tower.layers.12*", | |
| "context_tower.layers.13.mixer.gate", | |
| "context_tower.layers.13.mixer.shared_experts*", | |
| "context_tower.layers.14*", | |
| "context_tower.layers.15.mixer.gate", | |
| "context_tower.layers.15.mixer.shared_experts*", | |
| "context_tower.layers.16*", | |
| "context_tower.layers.17.mixer.gate", | |
| "context_tower.layers.17.mixer.shared_experts*", | |
| "context_tower.layers.18*", | |
| "context_tower.layers.19*", | |
| "context_tower.layers.2.*", | |
| "context_tower.layers.20.mixer.gate", | |
| "context_tower.layers.20.mixer.shared_experts*", | |
| "context_tower.layers.21*", | |
| "context_tower.layers.22.mixer.gate", | |
| "context_tower.layers.22.mixer.shared_experts*", | |
| "context_tower.layers.23*", | |
| "context_tower.layers.24.mixer.gate", | |
| "context_tower.layers.24.mixer.shared_experts*", | |
| "context_tower.layers.25*", | |
| "context_tower.layers.26*", | |
| "context_tower.layers.27.mixer.gate", | |
| "context_tower.layers.27.mixer.shared_experts*", | |
| "context_tower.layers.28*", | |
| "context_tower.layers.29.mixer.gate", | |
| "context_tower.layers.29.mixer.shared_experts*", | |
| "context_tower.layers.3.mixer.gate", | |
| "context_tower.layers.3.mixer.shared_experts*", | |
| "context_tower.layers.30*", | |
| "context_tower.layers.31.mixer.gate", | |
| "context_tower.layers.31.mixer.shared_experts*", | |
| "context_tower.layers.32*", | |
| "context_tower.layers.33*", | |
| "context_tower.layers.34.mixer.gate", | |
| "context_tower.layers.34.mixer.shared_experts*", | |
| "context_tower.layers.35*", | |
| "context_tower.layers.36.mixer.gate", | |
| "context_tower.layers.36.mixer.shared_experts*", | |
| "context_tower.layers.37*", | |
| "context_tower.layers.38.mixer.gate", | |
| "context_tower.layers.38.mixer.shared_experts*", | |
| "context_tower.layers.39*", | |
| "context_tower.layers.4.*", | |
| "context_tower.layers.40.mixer.gate", | |
| "context_tower.layers.40.mixer.shared_experts*", | |
| "context_tower.layers.41*", | |
| "context_tower.layers.42*", | |
| "context_tower.layers.43.mixer.gate", | |
| "context_tower.layers.43.mixer.shared_experts*", | |
| "context_tower.layers.44*", | |
| "context_tower.layers.45.mixer.gate", | |
| "context_tower.layers.45.mixer.shared_experts*", | |
| "context_tower.layers.46*", | |
| "context_tower.layers.47.mixer.gate", | |
| "context_tower.layers.47.mixer.shared_experts*", | |
| "context_tower.layers.48*", | |
| "context_tower.layers.49.mixer.gate", | |
| "context_tower.layers.49.mixer.shared_experts*", | |
| "context_tower.layers.5.*", | |
| "context_tower.layers.50*", | |
| "context_tower.layers.51.mixer.gate", | |
| "context_tower.layers.51.mixer.shared_experts*", | |
| "context_tower.layers.6.mixer.gate", | |
| "context_tower.layers.6.mixer.shared_experts*", | |
| "context_tower.layers.7*", | |
| "context_tower.layers.8.mixer.gate", | |
| "context_tower.layers.8.mixer.shared_experts*", | |
| "context_tower.layers.9*", | |
| "denoiser_tower.embeddings", | |
| "denoiser_tower.layers.0*", | |
| "denoiser_tower.layers.1.mixer.gate", | |
| "denoiser_tower.layers.1.mixer.shared_experts*", | |
| "denoiser_tower.layers.10.mixer.gate", | |
| "denoiser_tower.layers.10.mixer.shared_experts*", | |
| "denoiser_tower.layers.11*", | |
| "denoiser_tower.layers.12*", | |
| "denoiser_tower.layers.13.mixer.gate", | |
| "denoiser_tower.layers.13.mixer.shared_experts*", | |
| "denoiser_tower.layers.14*", | |
| "denoiser_tower.layers.15.mixer.gate", | |
| "denoiser_tower.layers.15.mixer.shared_experts*", | |
| "denoiser_tower.layers.16*", | |
| "denoiser_tower.layers.17.mixer.gate", | |
| "denoiser_tower.layers.17.mixer.shared_experts*", | |
| "denoiser_tower.layers.18*", | |
| "denoiser_tower.layers.19*", | |
| "denoiser_tower.layers.2.*", | |
| "denoiser_tower.layers.20.mixer.gate", | |
| "denoiser_tower.layers.20.mixer.shared_experts*", | |
| "denoiser_tower.layers.21*", | |
| "denoiser_tower.layers.22.mixer.gate", | |
| "denoiser_tower.layers.22.mixer.shared_experts*", | |
| "denoiser_tower.layers.23*", | |
| "denoiser_tower.layers.24.mixer.gate", | |
| "denoiser_tower.layers.24.mixer.shared_experts*", | |
| "denoiser_tower.layers.25*", | |
| "denoiser_tower.layers.26*", | |
| "denoiser_tower.layers.27.mixer.gate", | |
| "denoiser_tower.layers.27.mixer.shared_experts*", | |
| "denoiser_tower.layers.28*", | |
| "denoiser_tower.layers.29.mixer.gate", | |
| "denoiser_tower.layers.29.mixer.shared_experts*", | |
| "denoiser_tower.layers.3.mixer.gate", | |
| "denoiser_tower.layers.3.mixer.shared_experts*", | |
| "denoiser_tower.layers.30*", | |
| "denoiser_tower.layers.31.mixer.gate", | |
| "denoiser_tower.layers.31.mixer.shared_experts*", | |
| "denoiser_tower.layers.32*", | |
| "denoiser_tower.layers.33*", | |
| "denoiser_tower.layers.34.mixer.gate", | |
| "denoiser_tower.layers.34.mixer.shared_experts*", | |
| "denoiser_tower.layers.35*", | |
| "denoiser_tower.layers.36.mixer.gate", | |
| "denoiser_tower.layers.36.mixer.shared_experts*", | |
| "denoiser_tower.layers.37*", | |
| "denoiser_tower.layers.38.mixer.gate", | |
| "denoiser_tower.layers.38.mixer.shared_experts*", | |
| "denoiser_tower.layers.39*", | |
| "denoiser_tower.layers.4.*", | |
| "denoiser_tower.layers.40.mixer.gate", | |
| "denoiser_tower.layers.40.mixer.shared_experts*", | |
| "denoiser_tower.layers.41*", | |
| "denoiser_tower.layers.42*", | |
| "denoiser_tower.layers.43.mixer.gate", | |
| "denoiser_tower.layers.43.mixer.shared_experts*", | |
| "denoiser_tower.layers.44*", | |
| "denoiser_tower.layers.45.mixer.gate", | |
| "denoiser_tower.layers.45.mixer.shared_experts*", | |
| "denoiser_tower.layers.46*", | |
| "denoiser_tower.layers.47.mixer.gate", | |
| "denoiser_tower.layers.47.mixer.shared_experts*", | |
| "denoiser_tower.layers.48*", | |
| "denoiser_tower.layers.49.mixer.gate", | |
| "denoiser_tower.layers.49.mixer.shared_experts*", | |
| "denoiser_tower.layers.5.*", | |
| "denoiser_tower.layers.50*", | |
| "denoiser_tower.layers.51.mixer.gate", | |
| "denoiser_tower.layers.51.mixer.shared_experts*", | |
| "denoiser_tower.layers.6.mixer.gate", | |
| "denoiser_tower.layers.6.mixer.shared_experts*", | |
| "denoiser_tower.layers.7*", | |
| "denoiser_tower.layers.8.mixer.gate", | |
| "denoiser_tower.layers.8.mixer.shared_experts*", | |
| "denoiser_tower.layers.9*", | |
| "lm_head", | |
| "t_block*", | |
| "t_embedder*" | |
| ] | |
| } | |
| } |