Instructions to use naver-hyperclovax/HyperCLOVAX-SEED-Think-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use naver-hyperclovax/HyperCLOVAX-SEED-Think-32B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="naver-hyperclovax/HyperCLOVAX-SEED-Think-32B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("naver-hyperclovax/HyperCLOVAX-SEED-Think-32B")
model = AutoModelForMultimodalLM.from_pretrained("naver-hyperclovax/HyperCLOVAX-SEED-Think-32B", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use naver-hyperclovax/HyperCLOVAX-SEED-Think-32B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "naver-hyperclovax/HyperCLOVAX-SEED-Think-32B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "naver-hyperclovax/HyperCLOVAX-SEED-Think-32B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/naver-hyperclovax/HyperCLOVAX-SEED-Think-32B

SGLang

How to use naver-hyperclovax/HyperCLOVAX-SEED-Think-32B 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 "naver-hyperclovax/HyperCLOVAX-SEED-Think-32B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "naver-hyperclovax/HyperCLOVAX-SEED-Think-32B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "naver-hyperclovax/HyperCLOVAX-SEED-Think-32B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "naver-hyperclovax/HyperCLOVAX-SEED-Think-32B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use naver-hyperclovax/HyperCLOVAX-SEED-Think-32B with Docker Model Runner:
```
docker model run hf.co/naver-hyperclovax/HyperCLOVAX-SEED-Think-32B
```

HyperCLOVAX-SEED-Think-32B / config.json

HyperscaleAI

Remove remote code & unify preprocessor configs for native transformers support (#14)

3c2b633 10 days ago

Raw

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2.52 kB

	{
	"anyres": false,
	"architectures": [
	"HyperCLOVAXVisionV2ForConditionalGeneration"
	],
	"eos_token_id": 128001,
	"hidden_size": 5120,
	"ignore_index": -100,
	"image_end_token_id": 128057,
	"image_start_token_id": 128056,
	"image_token_id": 128060,
	"max_num_grids": -1,
	"audio_projector_type": "mlp",
	"vision_projector_type": "linear",
	"model_type": "hyperclovax_vision_v2",
	"num_queries_vis_abstractor": -1,
	"pad_token_id": 0,
	"possible_resolutions": [],
	"proj_pos_emb": true,
	"proj_prenorm": false,
	"text_config": {
	"architectures": [
	"HyperCLOVAXForCausalLM"
	],
	"attention_bias": false,
	"attention_dropout": 0.0,
	"attention_multiplier": 0.08838834764831845,
	"bos_token_id": 128000,
	"embedding_multiplier": 1.0,
	"eos_token_id": 128001,
	"head_dim": 128,
	"hidden_act": "silu",
	"hidden_size": 5120,
	"initializer_range": 0.006,
	"intermediate_size": 24192,
	"logits_scaling": 1.0,
	"max_position_embeddings": 131072,
	"mlp_bias": false,
	"model_type": "hyperclovax",
	"num_attention_heads": 40,
	"num_hidden_layers": 72,
	"num_key_value_heads": 8,
	"pad_token_id": 0,
	"pretraining_tp": 1,
	"resid_pdrop": 0.2,
	"residual_multiplier": 1.0,
	"rms_norm_eps": 1e-05,
	"rope_scaling": null,
	"rope_theta": 50000000,
	"tie_word_embeddings": false,
	"use_cache": true,
	"use_post_norm": false,
	"vocab_size": 128256
	},
	"torch_dtype": "bfloat16",
	"transformers_version": "4.58.0",
	"unpad": false,
	"use_1x1_grid": false,
	"video_first_last_frames_slows": null,
	"video_max_num_frames": null,
	"video_num_queries_fast": null,
	"video_num_queries_slow": null,
	"video_end_token_id": 128059,
	"video_start_token_id": 128058,
	"video_token_id": 128061,
	"vision_config": {
	"anyres": false,
	"architectures": [
	"Qwen2_5_VisionTransformerPretrainedModel"
	],
	"depth": 32,
	"fullatt_block_indexes": [
	7,
	15,
	23,
	31
	],
	"hidden_act": "silu",
	"hidden_size": 1280,
	"in_channels": 3,
	"in_chans": 3,
	"initializer_range": 0.02,
	"intermediate_size": 3456,
	"max_num_grids": -1,
	"model_type": "qwen2_5_vl_vision",
	"num_heads": 16,
	"out_hidden_size": 5120,
	"patch_size": 14,
	"spatial_merge_size": 2,
	"spatial_patch_size": 14,
	"temporal_patch_size": 2,
	"tokens_per_second": 2,
	"window_size": 112
	},
	"vision_feature_layer": -2,
	"vision_input_chunk_size": null
	}