Instructions to use AbteeXAILab/lumynax-infused-gemma-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbteeXAILab/lumynax-infused-gemma-e4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbteeXAILab/lumynax-infused-gemma-e4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
license: other
license_name: proprietary
license_link: >-
https://huggingface.co/AbteeXAILab/lumynax-infused-gemma-e4b/resolve/main/LICENSE.txt
library_name: transformers
pipeline_tag: image-text-to-text
language:
- en
- mi
tags:
- lumynax
- lumynax-infused-gemma-e4b
- gemma-4-e4b
- multimodal
- reasoning
- audio
- image
- abteex-ai-labs
- local-first
LumynaX Infused Gemma E4B Model
LumynaX Infused Gemma E4B Model is a real local release package built around the official
google/gemma-4-E4B-it checkpoint, laid out in the same top-level structure as the checked-in
Tiny and NZ 3B releases.
Provenance
- upstream base model:
google/gemma-4-E4B-it - package identity:
LumynaX Infused Gemma E4B ModelfromAbteeX AI Labs - important limit: this is not a LumynaX fine-tuned checkpoint and not a LumynaX-merged Gemma checkpoint
Capabilities
- reasoning mode:
enabled - supported modalities from the upstream base model:
text, image, audio - local runtime: Transformers-based package with the real upstream weights inside
merged_model/ - hardcoded package identity:
merged_model/chat_template.jinjainjects the LumynaX runtime identity by default
Included Local Structure
merged_model/: real packaged upstream Gemma 4 E4B model filesmerged_model/LUMYNAX_PACKAGE_IDENTITY.txt: packaged identity prompt for the LumynaX runtime wrapperartifacts/release_training_summary.json: release metadata and provenance summaryhf_space/: private reasoning + multimodal Gradio demo aligned to this release packageollama/: included for parity with other releases, but not validated for this multimodal base packagerelease_export_manifest.json: local manifest for this package
Important Limit
This package carries the real upstream Gemma 4 E4B weights, but it does not claim any
LumynaX-specific adaptation of those weights.
It should be treated as a locally packaged LumynaX-branded Gemma base release under the
LumynaX Infused Gemma E4B Model release identity, not as a
true LumynaX-infused checkpoint.
Quick Start
pip install -r requirements.txt
python quickstart.py
python quickstart.py --mode image --image path-or-url
python quickstart.py --mode audio --audio path-or-url
The default python quickstart.py path exercises a local text + reasoning flow.
Consumer Runtimes
Ollama
The package keeps an ollama/ folder so the release shape stays close to the existing Tiny and NZ 3B exports.
That path has not been validated for this multimodal base package.
ollama create lumynax-infused-gemma-e4b -f ollama/Modelfile
ollama run lumynax-infused-gemma-e4b
Zero-Install Browser Demo
The included hf_space/ bundle is a private reasoning + multimodal Gradio demo for this package.
Recommended default Hugging Face model repo id:
AbteeXAILab/lumynax-infused-gemma-e4b