NeilLeeNTU/PhotoGuider-explainer-nf4

image-text-to-text model by NeilLeeNTU

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The base model of the PhotoGuider explainer: Qwen/Qwen2.5-VL-7B-Instruct (revision cc594898137f460bfe9f0759e9844b3ce807cfb5) quantized once with bitsandbytes to 4-bit NF4 (bnb4bitcomputedtype=bfloat16, llmint8skipmodules=["visual", "lmhead"]), exactly the configuration PhotoGuider applies when it loads the bf16 checkpoint. Loading these weights reads 6 GB instead of quantizing the 16 GB checkpoint on every load; the generated explanations are identical token for token.…

NeilLeeNTU/PhotoGuider-explainer-nf4 on Hugging Face A short preview, not the full document.

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  1. PhotoGuider explainer base, NF4

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Model overview

NeilLeeNTU/PhotoGuider-explainer-nf4 is a image-text-to-text model repository published by NeilLeeNTU on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-text-to-text
Library
transformers
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
8,292,166,656
Architecture
Qwen2_5_VLForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-11-08T06:38:15.000Z
Last modified
2026-11-08T06:42:01.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen2.5-VL-7B-Instruct

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-08T06:55:28.597Z. Daily imports are snapshots, not real-time monitoring.

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