divagr1925/Qwen3.5-4B-Qwenputer

text-generation model by divagr1925

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Code on GitHub · Filesystem model · Base model: Qwen/Qwen3.5-4B · Apache-2.0 Qwenputer is a new kind of experimental model: Qwen3.5-4B with a 32-bit RISC-V CPU compiled and inserted directly into its weights. It isn't a plugin, a tool or a sandbox. The CPU is 11 transformer layers in front of Qwen's own, and none of their weights are learned: a compiler computes every one. It uses the model's own Gated DeltaNet state as RAM. Qwen3.5's DeltaNet layers carry a running state that the delta rule can overwrite one row at a time, exactly, so each row works as a memory cell. The CPU keeps its code, data, registers and program counter there. The CPU runs C and MicroPython code inside the model's forward passes, and passes the official riscv-tests suites. Greedy decoding, 40 problems per set. Each row compares base Qwen3.5-4B and Qwenputer on the same problems. Base gets…

divagr1925/Qwen3.5-4B-Qwenputer on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Benchmarks
  2. Quickstart
  3. Gated DeltaNet as RAM
  4. Model details
  5. Citation
  6. License

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Model overview

divagr1925/Qwen3.5-4B-Qwenputer is a text-generation model repository published by divagr1925 on Hugging Face. The source reports the transformers library.

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Model facts

Task
text-generation
Library
transformers
Recent downloads (30 days)
744
Cumulative likes
115
Hugging Face trending score
115
Reported safetensors parameters
9,357,602,496
Architecture
Qwen3_5ForCausalLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-19T18:51:39.000Z
Last modified
2026-10-23T09:14:39.000Z

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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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.

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