Nanbeige/Nanbeige4.2-3B
Text Generation • 4B • Updated • 18.9k • 507
Joseph [open/acc] Pollack PRO
Tonic
AI & ML interests
🤖Making robots to help people learn things quicker 👩🏻🚀🚀
Recent Activity
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# One API for Every Visual & OCR Models.
The VLM Run Gateway is a fully compatible API for OpenAI chat completions for visual intelligence. If you’re building document extraction or visual understanding, the Gateway exposes OCR, VQA, and detection behind a single interface you already know.
Read the docs: https://docs.vlm.run/gateway/introduction.
We actively support the following recent OCR and VQA models, which you can try today at no cost:
* zai-org/glm-ocr
* rednote-hilab/dots.mocr
* paddleocr/pp-ocrv6
* qwen/qwen3.5-0.8b
## Quickstart
### Python
```
from openai import OpenAI
client = OpenAI(base_url="https://gateway.vlm.run/v1/openai")
response = client.chat.completions.create(
model="zai-org/glm-ocr",
messages=[
{
"role": "user",
"content": [
{
"type": "document_url",
"document_url": {
"url": "https://storage.googleapis.com/vlm-data-public-prod/hub/examples/finance.sec-filings/tsla-8k.pdf"
},
},
],
}
],
extra_body={"method": "markdown", "document_dpi": 150},
)
print(response.choices[0].message.content)
```
### Curl
```
curl https://gateway.vlm.run/v1/openai/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer vlmrun" \
-d '{
"model": "zai-org/glm-ocr",
"messages": [
{
"role": "user",
"content": [
{
"type": "document_url",
"document_url": {
"url": "https://storage.googleapis.com/vlm-data-public-prod/hub/examples/finance.sec-filings/tsla-8k.pdf"
}
}
]
}
],
"method": "markdown",
"document_dpi": 150
}'
```
## Auth and limits
Anonymous auth is enabled, so you can omit the authorization header entirely, or send Bearer "" or Bearer vlmrun. Rate limits are 60 req/min and 1000 req/hr.Organizations
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