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LucianoM39/Gemma-4-E4B-it-Q4_0-Mesh-LLM
Gemma-4-E4B-it-Q4_0-Mesh-LLM is a machine learning model from LucianoM39. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
This repository contains a native Mesh-LLM / Skippy layer-package generated from Google's official Gemma 4 E4B instruction-tuned Q40 GGUF distribution.
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From the Hugging Face model README
This repository contains a native Mesh-LLM / Skippy layer-package generated from Google's official Gemma 4 E4B instruction-tuned Q4_0 GGUF distribution.
Source model:
google/gemma-4-E4B-it-qat-q4_0-gguf4b4a2c1d584be7264f87aac328a1bc739ce81b6cgemma-4-E4B_q4_0-it.gguf676c35070db6dbe52f93e9c864ee0fba4eddea94b9c875d9cb10daff453fbaeegemma-4-E4B-it-mmproj.gguf7498a37cb619e55f2fcf87eb931f56e99389ed6d432e4c5c66110694c0d65578Package characteristics:
layer-package version 10.1.24The package was validated against the original source GGUF for exact owned-tensor coverage, artifact sizes, layer coverage, and SHA-256 checksums. Skippy preflight also validated all package artifacts and a four-stage split plan.
"$HOME/Library/Application Support/Flushnet/AI-MAX/bin/ai-max-local-model-webchat" \
"LucianoM39/Gemma-4-E4B-it-Q4_0-Mesh-LLM"
Private/local Mesh-LLM split mode:
"$HOME/Library/Application Support/Flushnet/AI-MAX/bin/ai-max-local-model-webchat" \
--runtime mesh-local \
"LucianoM39/Gemma-4-E4B-it-Q4_0-Mesh-LLM"
AI-MAX uses a dedicated Gemma 4 adaptation profile with an 8192-token runtime context and a 2048-token response cap by default. These values can be overridden using the standard AI-MAX environment variables.
This repository contains the split package artifacts only; it does not duplicate the original monolithic source GGUF.