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Run DeepSeek Harness on Llama Guard 4 12B

by DeepSeekCoding agent

DeepSeek Harness (dsh) is DeepSeek's open-source agent harness, released under MIT and built so that everything is a plugin, from the model adapter and the tool registry to the agent loop itself. Start it with npx @deepseek-ai/dsh web and it opens a local web UI where the agent reads and edits your workspace, runs commands, and keeps a plan, with a headless profile for one-shot jobs from the terminal. On Opper it runs on any of 700+ models rather than DeepSeek's own alone: add Opper as a custom provider and you get one key, automatic fallbacks, and a choice of region.

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Connect DeepSeek Harness to Llama Guard 4 12B

Set up with agents

Paste this into your coding agent (Claude Code, Cursor, Codex, and more) and it will set up and build with Opper for you.

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Where you can run it

Llama Guard 4 12B runs on the routes below. Route only to EU providers when your data has to stay in Europe. Its route also sells flex and priority processing: the same model at another price, picked per request with service_tier. How service tiers work.

ProviderRegionZero data retentionTrainingInputOutputCache read
USNo$0.18$0.18Input price

The model

by Meta

Meta Llama Guard 4 12B, a dense multimodal safety classifier that flags harmful content in text and image inputs and model outputs.

Available on

Pricing from$0.18/ 1M input$0.18/ 1M output164Kcontext

Privacy

ZDR
Training
No
Region
US

Run DeepSeek Harness on other models

Step-by-step setup for running DeepSeek Harness on each of these models through Opper.

More apps on Opper

Run DeepSeek Harness on Llama Guard 4 12B

One key, 700+ models, a choice of region, and zero data retention. Switch the model behind your app without changing your workflow.

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