How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "forkjoin-ai/deepseek-ocr-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "forkjoin-ai/deepseek-ocr-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/forkjoin-ai/deepseek-ocr-2
Quick Links

Deepseek Ocr 2 (SafeTensors)

SafeTensors mirror of deepseek-ai/DeepSeek-OCR-2 for distributed edge inference — powered by the Aether runtime on Edgework.ai.

Model Details

Property Value
Base model deepseek-ai/DeepSeek-OCR-2
Format SafeTensors
Weight files 1 shard(s) *.safetensors
License apache-2.0

Usage

These are SafeTensors weights — load them with the model's native framework (e.g. transformers / diffusers), not llama.cpp.

huggingface-cli download forkjoin-ai/deepseek-ocr-2 --local-dir ./deepseek-ocr-2

About

Published by AFFECTIVELY · Managed by @buley. Mirrored for distributed edge inference via the Aether runtime.

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