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Xecut/Qwen-3.5-4B-Random
Qwen-3.5-4B-Random is a image-text-to-text model from Xecut. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
<img width="200px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logoqwen3.5.png"
Downloads · 30 days
35
15% of all-time downloads
All-time downloads
233
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4.7B
13.8 GB on disk
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.safetensors9.3 GB · 67%
How the weights are stored.
BF164.7B · 100%
From the Hugging Face model README

[!Note] This repository contains model weights for an experimental randomly initialized LLM using cryptographic vectors.
The output itself is not cryptographic.
Top-K sampling and temperature are the most important settings.
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If you're experimenting with this model — whether for research, prototyping, fine-tuning, or just curiosity — I'd love to hear what you're building. Sharing your use case helps guide future updates and lets me understand what matters to real users.
If you're open to it, feel free to drop a note in the Discussions tab with:
Even a one-sentence "I used it for X" is incredibly helpful.
💎 Project Context — "A Rhizome in Motion"