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
Checkpoint marker is vev.json; drop the unused head.pt
Browse files- head.pt +0 -3
- vev_pointer.json → vev.json +0 -3
head.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:78d0974e51064d9c70d9548e1555779822f708ff67e770e4487452b6018adc20
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size 5247167
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vev_pointer.json → vev.json
RENAMED
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{
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"dp": 256,
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"prior": true,
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"temperatures": {},
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"base_model": "Qwen/Qwen3.5-4B",
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"vev_version": "0.1.0",
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"train_args": {
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{
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"base_model": "Qwen/Qwen3.5-4B",
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"vev_version": "0.1.0",
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"train_args": {
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