What are the hardware requirements for Basal Omni 1.0 Mini?

Basal Omni 1.0 Mini requires approximately 15.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Basal Omni 1.0 Mini and how large is it?

Basal Omni 1.0 Mini is developed by Remek, a model with 7.9b parameters. 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 Basal Omni 1.0 Mini?

Basal Omni 1.0 Mini is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Basal Omni 1.0 Mini by Remek — VRAM 15.9GB

Name: Basal Omni 1.0 Mini
Author: Remek

Basal Omni 1.0 Mini is an open-source language model by Remek. Features: 7.9b LLM, VRAM: 15.9GB, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:google/gem... Base model:google/gemma-4-e4b-... Calibration Classification Conversational Decision-making En Endpoints compatible Experimental Gemma4 Image-text-to-text Pl Polish Region:us Safetensors Typed-decisions

Model Card on HF 🤗: https://huggingface.co/Remek/basal-omni-1.0-mini

Basal Omni 1.0 Mini Parameters and Internals

LLM Name	Basal Omni 1.0 Mini
Repository 🤗	https://huggingface.co/Remek/basal-omni-1.0-mini
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	7.9b
Required VRAM	15.9 GB
Updated	2026-10-22
Maintainer	Remek
Model Type	gemma4
Model Files	15.9 GB
Supported Languages	pl en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.17.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Basal Omni 1.0 Mini capabilities

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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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