OPEN_SOURCE ↗
REDDIT · REDDIT// 7d agoMODEL RELEASE
Qwen3.5-397B REAP35 Fits 96GB GPUs
This release is a REAP-compressed variant of Qwen3.5-397B-A17B published on Hugging Face, tuned for local inference on a 96GB GPU while preserving potentially usable output quality. It targets the sweet spot LocalLLaMA cares about most: taking an enormous sparse MoE model and pushing it into a form that can actually be run on serious single-node hardware without completely collapsing utility.
// ANALYSIS
Hot take: this is exactly the kind of scaling hack that matters in local-model land, because the headline capability is not “best benchmark,” it’s “impossibly large model, now barely feasible on real hardware.”
- –The core value proposition is deployment, not novelty: shrinking a 397B model into something usable on 96GB is the main story.
- –“Potentially usable quality” is the right level of caution; this reads like an experimental efficiency release, not a polished production model.
- –If the compression holds up, the practical audience is strong: enthusiasts with H100-class memory, workstation clusters, and people benchmarking tradeoffs between quality, speed, and footprint.
- –This is most interesting as part of the broader Qwen3.5 ecosystem, where the base model already has strong name recognition and community attention.
// TAGS
qwenqwen3.5llmquantizationcompressionlocal-aihuggingfacemoe
DISCOVERED
7d ago
2026-04-05
PUBLISHED
7d ago
2026-04-05
RELEVANCE
8/ 10
AUTHOR
Goldkoron