🧠
Gemma 4 21b model by 0xSero
⭐ 56.2
🧠
Model

Gemma 4 21b

by 0xSero 0xsero/gemma-4-21b
Free2AITools Nexus Index
56.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 53
P: Popularity 28
R: Recency 97
Q: Quality 65
Tech Context
21.34 Params
8.192K Ctx
Vital Performance
1.2K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 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 0xsero/gemma-4-21b
License Gemma
Provider huggingface
πŸ’Ύ

Compute Threshold

~17.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{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.}
}
APA Style
0xSero. (2026). Gemma 4 21b [Model]. Free2AITools. https://huggingface.co/0xSero/Gemma-4-21B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-4-21b
πŸ€— HF Download
huggingface-cli download 0xsero/gemma-4-21b
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) 53
Popularity (P) 28
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemma 4 21b: Authority (A:53), Popularity (P:28), Recency (R:97), 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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πŸš€ What's Next?

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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 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
1.2KDownloads
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--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

βš™οΈ 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 β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,229
stars
null
forks
null

Data indexed from public sources. Updated daily.