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endpoint-auditor / training

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History: 5 commits

umer-wasim's picture

Use fine-tuned model v0.1 (WebLLM, constrained JSON decoding, q0f16 on desktop / q4 on phones); MLC converter; v0.3 pipeline

439d3c0 verified about 5 hours ago

eval
Use fine-tuned model v0.1 (WebLLM, constrained JSON decoding, q0f16 on desktop / q4 on phones); MLC converter; v0.3 pipeline about 5 hours ago
build_dataset.py

20.6 kB
Use fine-tuned model v0.1 (WebLLM, constrained JSON decoding, q0f16 on desktop / q4 on phones); MLC converter; v0.3 pipeline about 5 hours ago
check_faithfulness.py

4.16 kB
Steps 2-3: control library, training data builder and faithfulness check 1 day ago
evaluate.py

6.58 kB
Use fine-tuned model v0.1 (WebLLM, constrained JSON decoding, q0f16 on desktop / q4 on phones); MLC converter; v0.3 pipeline about 5 hours ago
merge_lora.py

1.79 kB
Catalog, library and synthetic data v0.2: user account type, USB device access, vulnerabilities about 15 hours ago
mlc_quantize.py

9.52 kB
Use fine-tuned model v0.1 (WebLLM, constrained JSON decoding, q0f16 on desktop / q4 on phones); MLC converter; v0.3 pipeline about 5 hours ago
pipeline-v0.3.sh

3.36 kB
Use fine-tuned model v0.1 (WebLLM, constrained JSON decoding, q0f16 on desktop / q4 on phones); MLC converter; v0.3 pipeline about 5 hours ago
publish_model.py

11.6 kB
Use fine-tuned model v0.1 (WebLLM, constrained JSON decoding, q0f16 on desktop / q4 on phones); MLC converter; v0.3 pipeline about 5 hours ago
train_lora.py

12.1 kB
Catalog, library and synthetic data v0.2: user account type, USB device access, vulnerabilities about 15 hours ago