Instructions to use AdamProAI/eyebench-v3-qwen35-4b-lora-smoke-verify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdamProAI/eyebench-v3-qwen35-4b-lora-smoke-verify with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "AdamProAI/eyebench-v3-qwen35-4b-lora-smoke-verify") - Notebooks
- Google Colab
- Kaggle
AdamProAI/eyebench-v3-qwen35-4b-lora-smoke-verify
LoRA adapter exported from Tinker for EyeBench-style visual reasoning experiments.
Base Model
Qwen/Qwen3.5-4B
Verification Snapshot
- Benchmark score:
40.00% - Exact match:
2/5 - MAE:
5.40
Notes
- This is an exported adapter checkpoint, not a merged full model.
- The verification run used a tiny smoke split, so the score is only a pipeline sanity check.
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