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Gemma 4 31b It Qat Q4 0 Gguf model by google
⭐ 52
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Model

Gemma 4 31b It Qat Q4 0 Gguf

by google google/gemma-4-31b-it-qat-q4_0-gguf
Free2AITools Nexus Index
52.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 52
P: Popularity 53
R: Recency 99
Q: Quality 65
Tech Context
31 Params
4.096K Ctx
Vital Performance
45.6K DL / 30D
Source β†’
Low FNI signal 52 FNI Score
31B Params
4k Context
45.6K Downloads
H100+ ~26GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID google/gemma-4-31b-it-qat-q4_0-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~25.8GB 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_qat_q4_0_gguf,
  author = {google},
  title = {Gemma 4 31b It Qat Q4 0 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/google/gemma-4-31B-it-qat-q4_0-gguf}},
  note = {Accessed via Free2AITools.}
}
APA Style
google. (2026). Gemma 4 31b It Qat Q4 0 Gguf [Model]. Free2AITools. https://huggingface.co/google/gemma-4-31B-it-qat-q4_0-gguf

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-4-31b-it-qat-q4_0-gguf
πŸ€— HF Download
huggingface-cli download google/gemma-4-31b-it-qat-q4_0-gguf
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) 52
Popularity (P) 53
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemma 4 31b It Qat Q4 0 Gguf: Authority (A:52), Popularity (P:53), Recency (R:99), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
45.6KDownloads
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-qat-q4_0-gguf
slug
google--gemma-4-31b-it-qat-q4_0-gguf
source
huggingface
author
google
license
Apache-2.0
tags
transformers, gguf, image-text-to-text, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
31
context length
4,096
pipeline tag
image-text-to-text
vram gb
25.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
45,613
stars
null
forks
null

Data indexed from public sources. Updated daily.