F555/

qwen3.5-2b-base-blind-spots

	Qwen3.5-2B-Base — Blind Spot Analysis (Text + Vision)




	
	Model Tested




	

Field Value

Model Qwen/Qwen3.5-2B-Base

Parameters 2.27 B (2,274 M per HF metadata)

Architecture Hybrid Gated-DeltaNet (dense FFN) — 24 LM layers (18 DeltaNet + 6 full-attention), ViT vision encoder

Type Pre-trained base model (not instruction-tuned)

Context 262 144 tokens

Modalities Text + Vision (early-fusion multimodal)

Only multimodal… See the full description on the dataset page: https://huggingface.co/datasets/F555/qwen3.5-2b-base-blind-spots.