Developer Frameworks & Infrastructure
DeepSeek Harness
Enterprise model evaluation and benchmarking harness for DeepSeek models
Open sourceRuns on your deviceEditors pick
Pricing
Open Source
Free
Platforms
macOS - Windows - Linux
Self-hosted or local
Category
Developer Frameworks & Infrastructure
133 tools
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Last updated
Oct 4
Listing updated
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DeepSeek model regression testing
Run continuous evaluation benchmark suites on custom fine-tuned DeepSeek model checkpoints.
Pricing checked Oct 2026
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About DeepSeek Harness
DeepSeek Harness is a evaluation and benchmarking framework tailored for DeepSeek AI model architectures. It provides standardized evaluation suites for measuring math reasoning, code generation performance, context window fidelity, and multi-turn instruction following.
Engineered for enterprise AI engineers, DeepSeek Harness enables automated model regression testing before production deployment.
- 100% open source with comprehensive evaluation dataset suites
- Direct integration with DeepSeek API and local Ollama/vLLM endpoints
- Detailed HTML and JSON benchmark reporting
- Targeted primarily at DeepSeek model evaluation ecosystem
- Requires local environment setup for heavy benchmark evaluations
git clone https://github.com/deepseek-ai/harness.gitOpen source tool available on GitHub.
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