Instructions to use SeanScripts/Molmo-72B-0924-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SeanScripts/Molmo-72B-0924-nf4 with Transformers:

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

pipe = pipeline("image-text-to-text", model="SeanScripts/Molmo-72B-0924-nf4", 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 AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("SeanScripts/Molmo-72B-0924-nf4", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use SeanScripts/Molmo-72B-0924-nf4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SeanScripts/Molmo-72B-0924-nf4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SeanScripts/Molmo-72B-0924-nf4",
		"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/SeanScripts/Molmo-72B-0924-nf4

SGLang

How to use SeanScripts/Molmo-72B-0924-nf4 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 "SeanScripts/Molmo-72B-0924-nf4" \
    --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": "SeanScripts/Molmo-72B-0924-nf4",
		"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 "SeanScripts/Molmo-72B-0924-nf4" \
        --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": "SeanScripts/Molmo-72B-0924-nf4",
		"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 SeanScripts/Molmo-72B-0924-nf4 with Docker Model Runner:
```
docker model run hf.co/SeanScripts/Molmo-72B-0924-nf4
```

Molmo-72B-0924-nf4

File size: 1,415 Bytes

{
  "_name_or_path": "SeanScripts/Molmo-72B-0924-nf4",
  "architectures": [
    "MolmoForCausalLM"
  ],
  "attention_layer_norm": false,
  "auto_map": {
    "AutoConfig": "config_molmo.MolmoConfig",
    "AutoModelForCausalLM": "modeling_molmo.MolmoForCausalLM"
  },
  "clip_qkv": null,
  "embedding_size": 152064,
  "hidden_size": 8192,
  "initializer_range": 0.02,
  "intermediate_size": 59136,
  "layer_norm_eps": 1e-05,
  "layer_norm_type": "rms",
  "max_position_embeddings": 4096,
  "model_type": "molmo",
  "norm_after": false,
  "num_attention_heads": 64,
  "num_hidden_layers": 80,
  "num_key_value_heads": 8,
  "qkv_bias": true,
  "quantization_config": {
    "_load_in_4bit": true,
    "_load_in_8bit": false,
    "bnb_4bit_compute_dtype": "float16",
    "bnb_4bit_quant_storage": "uint8",
    "bnb_4bit_quant_type": "nf4",
    "bnb_4bit_use_double_quant": true,
    "llm_int8_enable_fp32_cpu_offload": true,
    "llm_int8_has_fp16_weight": false,
    "llm_int8_skip_modules": ["model.wte", "model.ln_f", "model.transformer.ff_out", "model.vision_backbone"],
    "llm_int8_threshold": 6.0,
    "load_in_4bit": true,
    "load_in_8bit": false,
    "quant_method": "bitsandbytes"
  },
  "rope_theta": 1000000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.45.1",
  "use_cache": true,
  "use_position_ids": true,
  "vocab_size": 152064,
  "weight_tying": false
}