🧠
Gemma 2 9b It Fp8 model by RedHatAI
⭐ 54.4
🧠
Model

Gemma 2 9b It Fp8

by RedHatAI redhatai/gemma-2-9b-it-fp8
Free2AITools Nexus Index
54.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 41
P: Popularity 35
R: Recency 100
Q: Quality 65
Tech Context
9.24 Params
8.192K Ctx
Vital Performance
3.1K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 54.4 FNI Score
9.24B Params
8k Context
3.1K Downloads
24G GPU ~9GB Est. VRAM
Dense GEMMA2FORCAUSALLM Architecture
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID redhatai/gemma-2-9b-it-fp8
License Gemma
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{redhatai_gemma_2_9b_it_fp8,
  author = {RedHatAI},
  title = {Gemma 2 9b It Fp8 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/RedHatAI/gemma-2-9b-it-FP8}},
  note = {Accessed via Free2AITools.}
}
APA Style
RedHatAI. (2026). Gemma 2 9b It Fp8 [Model]. Free2AITools. https://huggingface.co/RedHatAI/gemma-2-9b-it-FP8

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-2-9b-it-fp8
πŸ€— HF Download
huggingface-cli download redhatai/gemma-2-9b-it-fp8
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) 41
Popularity (P) 35
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemma 2 9b It Fp8: Authority (A:41), Popularity (P:35), 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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πŸš€ What's Next?

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Deployment reference

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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
3.1KDownloads
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-2-9b-it-fp8
slug
redhatai--gemma-2-9b-it-fp8
source
huggingface
author
RedHatAI
license
Gemma
tags
transformers, safetensors, gemma2, text-generation, gemma, fp8, vllm, conversational, text-generation-inference, en, base_model:google/gemma-2-9b-it, base_model:quantized:google/gemma-2-9b-it, license:gemma, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma2ForCausalLM
params billions
9.24
context length
8,192
pipeline tag
text-generation
vram gb
8.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
3,053
stars
null
forks
null

Data indexed from public sources. Updated daily.