Text Classification
PEFT
Safetensors
English
Chinese
cybersecurity
cyber-security
security
cyber-defense
blue-team
soc
security-operations
threat-detection
threat-intelligence
cti
alert-triage
incident-response
vulnerability-management
vulnerability-detection
cve
cwe
cvss
mitre-attack
cloud-security
iam
kubernetes-security
devsecops
supply-chain-security
sbom
compliance
ai-security
agent-guardrails
tool-use
function-calling
decision-model
calibration
lora
Eval Results (legacy)
Instructions to use Jue1Dev/jue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jue1Dev/jue with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download calibration.json from Jue1Dev/jue: direct link, hf CLI and curl.
- Browser
- Download file 593 Bytes
-
https://huggingface.co/Jue1Dev/jue/resolve/main/calibration.json
- Command line
-
hf download hf://Jue1Dev/jue/calibration.json
-
curl -L -o calibration.json https://huggingface.co/Jue1Dev/jue/resolve/main/calibration.json
593 Bytes
| { | |
| "T": 1.0912151068221057, | |
| "n": 32777, | |
| "nll_before": 0.44907530178712024, | |
| "nll_after": 0.4477702159206537, | |
| "ece_before": 0.01348102294510729, | |
| "ece_after": 0.004135494444042194, | |
| "fingerprint": { | |
| "base": "/tmp/jue/minicpm5-2b", | |
| "base_revision": null, | |
| "adapter_sha256": "80946e403c36bc72b35027ccfa0a6248caae438776b0583487bb16d3c891294d", | |
| "head_sha256": null, | |
| "tokenizer_sha256": "3e065a558a034185fe299917b398685c1facd0169a9eea1e629eb30c171fed81", | |
| "readout_version": "r1-code-logits/2", | |
| "layout": { | |
| "bos": "one", | |
| "type_tag": false | |
| } | |
| } | |
| } | |