Image-Text-to-Text
PEFT
Safetensors
English
Chinese
decision-model
judgment
classification
vision-language
jev
systemone
qwen3.5
lora
vev
Eval Results (legacy)
Instructions to use CountingSheep/vev-4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CountingSheep/vev-4b-lora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Card: Jev training statement
Browse files
README.md
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@@ -77,7 +77,7 @@ head kept for the loader; it does not change the output.
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Accuracy on full sets with the harness in the code repository. The zero-shot column is the base model read the
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same way without fine-tuning. kev-4B was run locally with the same harness; Jev was queried through TypeSafe's API
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(`jev-latest`, 23–24 September 2026)
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| Set | n | Qwen3.5-4B zero-shot | vev-4b-lora | kev-4B | Jev |
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Accuracy on full sets with the harness in the code repository. The zero-shot column is the base model read the
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same way without fine-tuning. kev-4B was run locally with the same harness; Jev was queried through TypeSafe's API
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(`jev-latest`, 23–24 September 2026); no Jev outputs were used for training.
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| Set | n | Qwen3.5-4B zero-shot | vev-4b-lora | kev-4B | Jev |
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