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memrag-basecur – AI Model by hyunseoki | AlphaNeural AI

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hyunseoki/
memrag-basecur

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image-text-to-text

trajectory-memory

Qwen/Qwen3.5-4B

endpoints_compatible

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memrag-basecur — Trajectory-Memory RAG (GUI agent)

Cold-start SFT from Qwen3.5-4B for GUI next-action prediction. This checkpoint = the current screenshot only (baseline) arm of a 3-arm A/B.

Action accuracy (n=498 test, AgentNetBench score_pair): 0.366

Status: v1, single-seed (positive; 3-seed confirmation pending). See the collection for the other arms.

Load

python

from transformers import AutoProcessor
from qwen_cua.modeling_qwen35_vl_latent import Qwen35VLLatentForConditionalGeneration as M
proc  = AutoProcessor.from_pretrained("hyunseoki/memrag-basecur", max_pixels=1_000_000)
model = M.from_pretrained("hyunseoki/memrag-basecur", torch_dtype="bfloat16", attn_implementation="flash_attention_2")

Plain Qwen3.5-VL arch (wm.enabled=false) — also loadable with the standard class.