Qwen3.5-4B-Qwenputer
What it is
This is a text generation model hosted on Hugging Face, described in the metadata as having 9B parameters despite the 4B name. It is designed for RISC-V (rv32im) environments and utilizes a 'Gated DeltaNet' architecture for memory management.
The problem it solves
Standard LLMs are too resource-intensive to run on low-power RISC-V edge devices with limited RAM.
What you could use it for
- Running LLM inference on RISC-V hardware
- Conversational AI applications with limited RAM
- Edge computing deployments using Qwenputer devices
Why it matters
Enables efficient large language model inference on low-power, RISC-V based edge devices by optimizing memory usage via Gated DeltaNet.
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.