Weight-only decimal-GB estimate from total parameter count; excludes KV cache, activations, runtime overhead, optimizer state and sharding.
04 · FORMATS
Formats & precision evidence
SafetensorsPyTorchONNX
BF16: not observedFP16: not observedFP8: not observedINT8: not observedINT4: not observedGGUF: not observed
“Not observed” means no matching repository artifact/name/dtype signal was found; it does not prove no third-party conversion exists.
05 · LINEAGE
Base model & family
Familydeberta-v3-base-prompt-injection-v2
Variantdeberta-v3-base-prompt-injection-v2
Declared base modelmicrosoft/deberta-v3-base
RelationNot declared
06 · TRAINING ASSETS
Recipe & data disclosure
Training reciperecipe-or-training-files-present · training_args.bin
Data disclosurenatolambert/xstest-v2-copy, VMware/open-instruct, alespalla/chatbot_instruction_prompts, HuggingFaceH4/grok-conversation-harmless, Harelix/Prompt-Injection-Mixed-Techniques-2024, OpenSafetyLab/Salad-Data, jackhhao/jailbreak-classification
EvaluationsNot classified by automated verifier
Intermediate checkpointsNot classified by automated verifier
07 · RUNTIME SUPPORT
Declared and mentioned runtimes
Declared libraryTransformers
Declared/taggedONNX Runtime, Transformers
Mentioned in model cardNone observed
Artifact signalsONNX artifact present
Tested by Open Model WeightsNo — source-derived support only
Open Model Weights does not claim runtime compatibility unless it is declared, tagged, mentioned by the publisher, or evidenced by an artifact. No inference benchmark is implied.