🧠

Model

Gemma 4 21b

Name: Gemma 4 21b
Author: 0xSero

by 0xSero hf-model--0xsero--gemma-4-21b

Free2AITools Nexus Index

56.2 Top 100%

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 53

P: Popularity 27

R: Recency 100

Q: Quality 65

Tech Context

21.34 Params

8.192K Ctx

Vital Performance

1.2K DL / 30D

0.0%

Source →

Audited 56.2 FNI Score

21.34B Params

8k Context

1.2K Downloads

24G GPU ~18GB Est. VRAM

Dense GEMMA4FORCONDITIONALGENERATION Architecture

Restricted GEMMA License

Model Information Summary
Entity Passport
Registry ID	hf-model--0xsero--gemma-4-21b
License	Gemma
Provider	huggingface

💾

Compute Threshold

~17.3GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__0xsero__gemma_4_21b,
  author = {0xSero},
  title = {Gemma 4 21b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/0xSero/Gemma-4-21B}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

0xSero. (2026). Gemma 4 21b [Model]. Free2AITools. https://huggingface.co/0xSero/Gemma-4-21B

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run gemma-4-21b

🤗 HF Download

huggingface-cli download 0xsero/gemma-4-21b

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 53

Popularity (P) 27

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Gemma 4 21b: Authority (A:53), Popularity (P:27), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

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🚀 What's Next?

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Deployment Guide

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Technical Deep Dive

⚠️ 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 →

📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• 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

1.2KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--0xsero--gemma-4-21b
slug: 0xsero--gemma-4-21b
source: huggingface
author: 0xSero
license: Gemma
tags: transformers, safetensors, gemma4, image-text-to-text, cerebras, expert-pruning, gemma, moe, pruning, reap, text-generation, conversational, en, arxiv:2510.13999, license:gemma, endpoints_compatible, region:us

⚙️ Technical Specs

architecture: Gemma4ForConditionalGeneration
params billions: 21.34
context length: 8,192
pipeline tag: text-generation
vram gb: 17.3
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 1,199
stars: 0
forks: null

Data indexed from public sources. Updated daily.