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armanibadboy/gemma-4-31b-it-route-b-perhead-k37
gemma-4-31b-it-route-b-perhead-k37 is a machine learning model from armanibadboy. Use it for the machine learning 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 other.
This repository contains the Route B release built on top of google/gemma-4-31B-it.
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Updated Apr 17, 2026
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From the Hugging Face model README
This repository contains the Route B release built on top of
google/gemma-4-31B-it.
Route B is a packed ternary weight representation for large language
models. In this release, the strongest current long-context checkpoint
uses per-head prosody in attention and a one-layer keep override for
layers.37.k_proj.
runtime/;kernel/;kernel/ARCHITECTURE.md.If this repo contains the packed .pt checkpoint, use the Route B
runtime in runtime/load_model.py.
If this repo contains a materialized Hugging Face export, load it as a
standard transformers model.
google/gemma-4-31B-it.archiv.org/benchmarks/results.md.Arman Aubakirov. A Discrete Weight Language for Large Language Models: Compressing Gemma 4 31B with a 5-Step Ternary Route. Technical report, April 2026.