HyperCLOVAX-SEED-Omni-8B

579
124
—
by
naver-hyperclovax
Language Model
OTHER
8B params
New
579 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
18GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
8GB+ RAM

Code Examples

Requirementsbash
# Clone OmniServe
git clone https://github.com/NAVER-Cloud-HyperCLOVA-X/OmniServe.git
cd OmniServe

# Install dependencies
pip install huggingface_hub safetensors torch openai easydict

# Download model (~16GB)
huggingface-cli download naver-hyperclovax/HyperCLOVAX-SEED-Omni-8B \
    --local-dir ./models/HyperCLOVAX-SEED-Omni-8B

# Convert model to component format
python convert_model.py \
    --input ./models/HyperCLOVAX-SEED-Omni-8B \
    --output ./track_b \
    --track b

# Configure environment
cp .env.example .env
# Edit .env with model paths and S3 credentials

# Build and run (Track B only - OMNI model)
docker compose --profile track-b build
docker compose --profile track-b up -d

# Wait for model loading (~5 minutes)
docker compose logs -f omni

# Note: To run both VLM and OMNI models together:
# docker compose --profile track-a --profile track-b up -d

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.