What are the hardware requirements for DAD Model Gemma V3?

DAD Model Gemma V3 requires approximately 5.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DAD Model Gemma V3 and how large is it?

DAD Model Gemma V3 is developed by GodsonNtungi. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate DAD Model Gemma V3?

DAD Model Gemma V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DAD Model Gemma V3 by GodsonNtungi — VRAM 5.3GB

Name: DAD Model Gemma V3
Author: GodsonNtungi

DAD Model Gemma V3 is an open-source language model by GodsonNtungi. Features: LLM, VRAM: 5.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Base model:mollel/swahili gemm... Base model:quantized:mollel/sw... Conversational En Endpoints compatible Gemma Gguf Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/GodsonNtungi/DAD_model_gemma_v3

DAD Model Gemma V3 Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	DAD Model Gemma V3
Repository 🤗	https://huggingface.co/GodsonNtungi/DAD_model_gemma_v3
Base Model(s)	Swahili Gemma Mollel/Swahili_Gemma
Required VRAM	5.3 GB
Updated	2026-07-18
Maintainer	GodsonNtungi
Model Type	gemma
Model Files	5.3 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the DAD Model Gemma V3 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than GodsonNtungi/DAD_model_gemma_v3.