Quazim0t0/Qwenx86-4B-compact

AI model by Quazim0t0

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GGUF Version ▶️ See it in action: Qwenx86 Debugger Space. Walk through actual recorded tool calls: the conversation, x86 registers and flags, code at the program counter, RAM and machine output, with all verified blocks on a timeline. Qwen3.5-4B with a 64-bit x86 computer compiled into its weights: 13 transformer layers ahead of Qwen's own. There are no learned weights in them; all of their weights are computed by a compiler. Qwen invokes the computer through its own tool calls (), and the computer in the weights executes the tool. Calculator, Python, C compiler, notes store, physics/chemistry lookup and Python-docs lookup are all firmware in the checkpoint. This is the compact checkpoint: 9 GB GPU memory, so it fits on a 16 GB GPU. v2 adds Qwenx86 memory on the same weights: a filesystem, 1,000-fact store, 50,000-token verbatim recall, JPEG images, programmable heads, a search index, exact 64-bit arithmetic and…

Quazim0t0/Qwenx86-4B-compact on Hugging Face A short preview, not the full document.

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Model overview

Quazim0t0/Qwenx86-4B-compact is a task-unspecified model repository published by Quazim0t0 on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 162
Cumulative likes: 52
Hugging Face trending score: 52
Reported safetensors parameters: Not reported
Architecture: Qwen3_5ForCausalLM
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-11-05T10:58:05.000Z
Last modified: 2026-11-10T13:53:10.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3.5-4B

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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Source: Hugging Face Hub. Metadata observed 2026-11-12T06:55:09.981Z. Daily imports are snapshots, not real-time monitoring.

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