HyperCLOVAX-SEED-Think-32B

23.7K
146
—
by
naver-hyperclovax
Language Model
OTHER
32B params
Fair
24K downloads
Community-tested
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
72GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
30GB+ RAM

Code Examples

Capabilitiesbash
# 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 (~60GB)
huggingface-cli download naver-hyperclovax/HyperCLOVAX-SEED-Think-32B \
    --local-dir ./models/HyperCLOVAX-SEED-Think-32B

# Convert model to component format
python convert_model.py \
    --input ./models/HyperCLOVAX-SEED-Think-32B \
    --output ./track_a \
    --track a

# Configure environment
cp .env.example .env
# Edit .env:
# VLM_MODEL_PATH=./track_a/llm/HyperCLOVAX-SEED-Think-32B
# VLM_ENCODER_VISION_MODEL_PATH=./track_a/ve/HyperCLOVAX-SEED-Think-32B

# Build and run
docker compose --profile track-a build
docker compose --profile track-a up -d

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

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