Instructions to use sunjuice/Molmo2-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sunjuice/Molmo2-8B with Transformers:

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

pipe = pipeline("image-text-to-text", model="sunjuice/Molmo2-8B", trust_remote_code=True)
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 AutoModelForImageTextToText
model = AutoModelForImageTextToText.from_pretrained("sunjuice/Molmo2-8B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use sunjuice/Molmo2-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sunjuice/Molmo2-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sunjuice/Molmo2-8B",
		"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/sunjuice/Molmo2-8B

SGLang

How to use sunjuice/Molmo2-8B 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 "sunjuice/Molmo2-8B" \
    --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": "sunjuice/Molmo2-8B",
		"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 "sunjuice/Molmo2-8B" \
        --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": "sunjuice/Molmo2-8B",
		"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 sunjuice/Molmo2-8B with Docker Model Runner:
```
docker model run hf.co/sunjuice/Molmo2-8B
```

Molmo2-8B / config.json

sunjuice

Duplicate from allenai/Molmo2-8B

3d66667 about 2 months ago

raw

history blame contribute delete

2.54 kB

	{
	"adapter_config": {
	"attention_dropout": 0.0,
	"attn_implementation": "sdpa",
	"float32_attention": true,
	"head_dim": 72,
	"hidden_act": "silu",
	"hidden_size": 1152,
	"image_feature_dropout": 0.0,
	"initializer_range": 0.02,
	"intermediate_size": 12288,
	"model_type": "molmo2",
	"num_attention_heads": 16,
	"num_key_value_heads": 16,
	"pooling_attention_mask": true,
	"residual_dropout": 0.0,
	"text_hidden_size": 4096,
	"vit_layers": [
	-3,
	-9
	]
	},
	"architectures": [
	"Molmo2ForConditionalGeneration"
	],
	"auto_map": {
	"AutoConfig": "configuration_molmo2.Molmo2Config",
	"AutoModelForImageTextToText": "modeling_molmo2.Molmo2ForConditionalGeneration"
	},
	"dtype": "float32",
	"frame_end_token_id": 151944,
	"frame_start_token_id": 151943,
	"image_col_id": 151939,
	"image_end_token_id": 151937,
	"image_high_res_id": 151938,
	"image_low_res_id": 151942,
	"image_patch_id": 151938,
	"image_start_token_id": 151936,
	"initializer_range": 0.02,
	"low_res_image_start_token_id": 151940,
	"model_type": "molmo2",
	"text_config": {
	"additional_vocab_size": 128,
	"attention_dropout": 0.0,
	"attn_implementation": "sdpa",
	"embedding_dropout": 0.0,
	"head_dim": 128,
	"hidden_act": "silu",
	"hidden_size": 4096,
	"initializer_range": 0.02,
	"intermediate_size": 12288,
	"layer_norm_eps": 1e-06,
	"max_position_embeddings": 36864,
	"model_type": "molmo2_text",
	"norm_after": false,
	"num_attention_heads": 32,
	"num_hidden_layers": 36,
	"num_key_value_heads": 8,
	"qk_norm_type": "qwen3",
	"qkv_bias": false,
	"residual_dropout": 0.0,
	"rope_scaling": null,
	"rope_scaling_layers": null,
	"rope_theta": 1000000.0,
	"use_cache": true,
	"use_qk_norm": true,
	"vocab_size": 151936
	},
	"tie_word_embeddings": false,
	"transformers_version": "4.57.1",
	"use_cache": true,
	"use_frame_special_tokens": false,
	"vit_config": {
	"attention_dropout": 0.0,
	"attn_implementation": "sdpa",
	"float32_attention": true,
	"head_dim": 72,
	"hidden_act": "gelu_pytorch_tanh",
	"hidden_size": 1152,
	"image_default_input_size": [
	378,
	378
	],
	"image_num_pos": 729,
	"image_patch_size": 14,
	"initializer_range": 0.02,
	"intermediate_size": 4304,
	"layer_norm_eps": 1e-06,
	"model_type": "molmo2",
	"num_attention_heads": 16,
	"num_hidden_layers": 27,
	"num_key_value_heads": 16,
	"residual_dropout": 0.0
	}
	}