🧠
Gemma 4 31b It model by google
⭐ 49.7
🧠
Model

Gemma 4 31b It

by google google/gemma-4-31b-it
Free2AITools Nexus Index
49.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 59
P: Popularity 77
R: Recency 88
Q: Quality 65
Tech Context
31.27 Params
8.192K Ctx
Vital Performance
12.1M DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 49.7 FNI Score
31.27B Params
8k Context
Hot 12.1M Downloads
H100+ ~26GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID google/gemma-4-31b-it
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~26GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{google_gemma_4_31b_it,
  author = {google},
  title = {Gemma 4 31b It Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/google/gemma-4-31B-it}},
  note = {Accessed via Free2AITools.}
}
APA Style
google. (2026). Gemma 4 31b It [Model]. Free2AITools. https://huggingface.co/google/gemma-4-31B-it

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-4-31b-it
πŸ€— HF Download
huggingface-cli download google/gemma-4-31b-it
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) 59
Popularity (P) 77
Recency (R) 88
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemma 4 31b It: Authority (A:59), Popularity (P:77), Recency (R:88), 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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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.

Social Proof

HuggingFace Hub
12.1MDownloads
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--google--gemma-4-31b-it
slug
google--gemma-4-31b-it
source
huggingface
author
google
license
Apache-2.0
tags
transformers, safetensors, gemma4, image-text-to-text, conversational, license:apache-2.0, eval-results, endpoints_compatible, region:us, deploy:azure, base_model:google/gemma-4-31b, base_model:finetune:google/gemma-4-31b, arxiv:2607.02770, deploy:sagemaker

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
31.27
context length
8,192
pipeline tag
image-text-to-text
vram gb
26
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
12,113,203
stars
0
forks
0

Data indexed from public sources. Updated daily.