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Gemma 4 26b A4b It Hlwq Q5 model by caiovicentino1
⭐ 39.7
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Model

Gemma 4 26b A4b It Hlwq Q5

by caiovicentino1 caiovicentino1/gemma-4-26b-a4b-it-hlwq-q5
Free2AITools Nexus Index
39.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 41
P: Popularity 16
R: Recency 89
Q: Quality 65
Tech Context
26.69 Params
8.192K Ctx
Vital Performance
316 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.7 FNI Score
26.69B Params
8k Context
316 Downloads
24G GPU ~22GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID caiovicentino1/gemma-4-26b-a4b-it-hlwq-q5
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~21.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{caiovicentino1_gemma_4_26b_a4b_it_hlwq_q5,
  author = {caiovicentino1},
  title = {Gemma 4 26b A4b It Hlwq Q5 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/caiovicentino1/Gemma-4-26B-A4B-it-HLWQ-Q5}},
  note = {Accessed via Free2AITools.}
}
APA Style
caiovicentino1. (2026). Gemma 4 26b A4b It Hlwq Q5 [Model]. Free2AITools. https://huggingface.co/caiovicentino1/Gemma-4-26B-A4B-it-HLWQ-Q5

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-4-26b-a4b-it-hlwq-q5
πŸ€— HF Download
huggingface-cli download caiovicentino1/gemma-4-26b-a4b-it-hlwq-q5

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) 16
Recency (R) 89
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemma 4 26b A4b It Hlwq Q5: Authority (A:41), Popularity (P:16), Recency (R:89), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
316Downloads
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--caiovicentino1--gemma-4-26b-a4b-it-hlwq-q5
slug
caiovicentino1--gemma-4-26b-a4b-it-hlwq-q5
source
huggingface
author
caiovicentino1
license
Apache-2.0
tags
safetensors, gemma4, hlwq, moe, quantized, vision, multimodal, image-text-to-text, conversational, arxiv:2502.02617, arxiv:2603.29078, base_model:google/gemma-4-26b-a4b-it, base_model:quantized:google/gemma-4-26b-a4b-it, license:apache-2.0, 8-bit, polarengine, region:us

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
26.69
context length
8,192
pipeline tag
image-text-to-text
vram gb
21.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
316
stars
0
forks
0

Data indexed from public sources. Updated daily.