🧠
Basal Omni 1.0 Mini model by Remek
⭐ 42.1
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Model

Basal Omni 1.0 Mini

by Remek remek/basal-omni-1.0-mini
Free2AITools Nexus Index
42.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 41
P: Popularity 32
R: Recency 100
Q: Quality 65
Tech Context
7.94 Params
8.192K Ctx
Vital Performance
2.0K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 42.1 FNI Score
7.94B Params
8k Context
2.0K Downloads
8G GPU ~8GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID remek/basal-omni-1.0-mini
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{remek_basal_omni_1_0_mini,
  author = {Remek},
  title = {Basal Omni 1.0 Mini Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Remek/basal-omni-1.0-mini}},
  note = {Accessed via Free2AITools.}
}
APA Style
Remek. (2026). Basal Omni 1.0 Mini [Model]. Free2AITools. https://huggingface.co/Remek/basal-omni-1.0-mini

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run basal-omni-1.0-mini
πŸ€— HF Download
huggingface-cli download remek/basal-omni-1.0-mini
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 41
Popularity (P) 32
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Basal Omni 1.0 Mini: Authority (A:41), Popularity (P:32), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
2.0KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--remek--basal-omni-1.0-mini
slug
remek--basal-omni-1.0-mini
source
huggingface
author
Remek
license
Apache-2.0
tags
transformers, safetensors, gemma4, image-text-to-text, typed-decisions, decision-making, classification, calibration, polish, experimental, text-generation, conversational, pl, en, base_model:google/gemma-4-e4b-it, base_model:finetune:google/gemma-4-e4b-it, license:apache-2.0, endpoints_compatible, region:us, decision-model

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
7.94
context length
8,192
pipeline tag
text-generation
vram gb
7.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,960

Data indexed from public sources. Updated daily.