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

Libraries

How to use MathLLMs/MathCoder-VL-8B with Transformers:

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

pipe = pipeline("image-text-to-text", model="MathLLMs/MathCoder-VL-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 AutoModel
model = AutoModel.from_pretrained("MathLLMs/MathCoder-VL-8B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use MathLLMs/MathCoder-VL-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MathLLMs/MathCoder-VL-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": "MathLLMs/MathCoder-VL-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/MathLLMs/MathCoder-VL-8B

SGLang

How to use MathLLMs/MathCoder-VL-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 "MathLLMs/MathCoder-VL-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": "MathLLMs/MathCoder-VL-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 "MathLLMs/MathCoder-VL-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": "MathLLMs/MathCoder-VL-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 MathLLMs/MathCoder-VL-8B with Docker Model Runner:
```
docker model run hf.co/MathLLMs/MathCoder-VL-8B
```

scikkk commited on May 19, 2025

Commit

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@@ -1,34 +1,36 @@
 ---
 license: apache-2.0
 language:
-  - en
 metrics:
-  - accuracy
 pipeline_tag: image-text-to-text
 tags:
-  - mathematics
-  - reasoning
-  - multi-modal-qa
-  - math-qa
-  - figure-qa
-  - geometry-qa
-  - math-word-problem
-  - textbook-qa
-  - vqa
-  - geometry-diagram
-  - synthetic-scene
-  - chart
-  - plot
-  - scientific-figure
-  - table
-  - function-plot
-  - abstract-scene
-  - puzzle-test
-  - document-image
-  - science
 library_name: transformers
 base_model:
-  - OpenGVLab/InternVL2-8B
 ---
 # MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning

 ---
 license: apache-2.0
 language:
+- en
 metrics:
+- accuracy
 pipeline_tag: image-text-to-text
 tags:
+- mathematics
+- reasoning
+- multi-modal-qa
+- math-qa
+- figure-qa
+- geometry-qa
+- math-word-problem
+- textbook-qa
+- vqa
+- geometry-diagram
+- synthetic-scene
+- chart
+- plot
+- scientific-figure
+- table
+- function-plot
+- abstract-scene
+- puzzle-test
+- document-image
+- science
 library_name: transformers
 base_model:
+- OpenGVLab/InternVL2-8B
+datasets:
+- MathLLMs/MM-MathInstruct
 ---
 # MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning