🧠
Gemma 4 31b It Fp8 Dynamic model by RedHatAI
⭐ 60.3
🧠
Model

Gemma 4 31b It Fp8 Dynamic

by RedHatAI redhatai/gemma-4-31b-it-fp8-dynamic
Free2AITools Nexus Index
60.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 48
P: Popularity 62
R: Recency 100
Q: Quality 65
Tech Context
32.68 Params
8.192K Ctx
Vital Performance
226.2K DL / 30D
Source β†’
Low FNI signal 60.3 FNI Score
32.68B Params
8k Context
Hot 226.2K Downloads
H100+ ~27GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID redhatai/gemma-4-31b-it-fp8-dynamic
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~27GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{redhatai_gemma_4_31b_it_fp8_dynamic,
  author = {RedHatAI},
  title = {Gemma 4 31b It Fp8 Dynamic Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/RedHatAI/gemma-4-31B-it-FP8-Dynamic}},
  note = {Accessed via Free2AITools.}
}
APA Style
RedHatAI. (2026). Gemma 4 31b It Fp8 Dynamic [Model]. Free2AITools. https://huggingface.co/RedHatAI/gemma-4-31B-it-FP8-Dynamic

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-4-31b-it-fp8-dynamic
πŸ€— HF Download
huggingface-cli download redhatai/gemma-4-31b-it-fp8-dynamic
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) 48
Popularity (P) 62
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemma 4 31b It Fp8 Dynamic: Authority (A:48), Popularity (P:62), Recency (R:100), 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
226.2KDownloads
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--redhatai--gemma-4-31b-it-fp8-dynamic
slug
redhatai--gemma-4-31b-it-fp8-dynamic
source
huggingface
author
RedHatAI
license
Apache-2.0
tags
transformers, safetensors, gemma4, image-text-to-text, fp8, vllm, llm-compressor, compressed-tensors, conversational, base_model:google/gemma-4-31b-it, base_model:quantized:google/gemma-4-31b-it, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
32.68
context length
8,192
pipeline tag
image-text-to-text
vram gb
27
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
226,150
stars
null
forks
null

Data indexed from public sources. Updated daily.