NOESIS / AMAImedia
Last updated: 2026-08-29
Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform (framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).
- Founder: Ilia Bolotnikov
- Organization: AMAImedia.com
- X (Twitter): @AMAImediacom
- LinkedIn: Ilia Bolotnikov
- Telegram: @djbionicl
- NOESIS version: v16.1
- Release date: 2026-08-26
NOESIS-Gemma3-4B-BF16
NOESIS-Gemma3-4B-BF16 is an AMAImedia BF16 fine-tuned and packaged Gemma 3 4B multimodal model used as the primary 4B Scenema student in the NOESIS audio-dubbing pipeline. It is provided as a full safetensors model together with its tokenizer, generation configuration, and the paired Scenema adapter/runtime files.
Model details
| Property | Value |
|---|---|
| Base model | unsloth/gemma-3-4b-it |
| Architecture | Gemma3ForConditionalGeneration |
| Precision | BF16 |
| Text hidden size | 2560 |
| Text layers | 34 |
| Context length | 131,072 tokens |
| Vision encoder | SigLIP, 896px image size |
| Training organization | AMAImedia / NOESIS |
The repository contains a NOESIS Scenema student bundle. The scenema_adapter_v3.pt file is a paired runtime adapter and is intentionally kept separate from the transformer weights; load it together with the model when using the Scenema audio cross-attention pipeline.
Repository contents
model.safetensors— BF16 model weights.config.json— Gemma 3 multimodal architecture configuration.tokenizer.json,tokenizer_config.json, andchat_template.jinja— tokenizer and chat template files.generation_config.json— generation defaults.scenema_adapter_v3.ptandscenema_adapter_config.json— paired Scenema adapter.scenema_wrapper.py— runtime integration wrapper.LICENSE— licensing and attribution information.
Basic Transformers loading
from transformers import AutoProcessor, AutoModelForCausalLM
MODEL_ID = "AMAImedia/NOESIS-Gemma3-4B-BF16"
processor = AutoProcessor.from_pretrained(MODEL_ID)
model = AutoModelForCausalLM.from_pretrained(
MODEL_ID,
torch_dtype="auto",
device_map="auto",
)
For multimodal inference, use the processor and model class supported by the installed Transformers version. For Scenema audio-dubbing inference, load scenema_adapter_v3.pt through scenema_wrapper.py in the same directory as the base model.
License and attribution
The upstream Gemma 3 weights are subject to the Google Gemma Terms of Use. The NOESIS fine-tuning, adapter, wrapper, and packaging should be used together with the repository LICENSE and the upstream attribution requirements.
This repository is an AMAImedia NOESIS release. It is intended for research, recipe validation, and audio-dubbing pipeline development.