🧠
Gemma 2 9b Skywork Pinv 0 1 2 1500 model by georgeyw
⭐ 39.3
🧠
Model

Gemma 2 9b Skywork Pinv 0 1 2 1500

by georgeyw hf-model--georgeyw--gemma-2-9b-skywork-pinv_0_-1_-2_1500
Nexus Index
39.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 3
R: Recency 98
Q: Quality 65
Tech Context
9 Params
4.096K Ctx
Vital Performance
29 DL / 30D
0.0%
Source →
Audited 39.3 FNI Score
9B Params
4k Context
29 Downloads
24G GPU ~9GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID hf-model--georgeyw--gemma-2-9b-skywork-pinv_0_-1_-2_1500
Provider huggingface
💾

Compute Threshold

~8.1GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__georgeyw__gemma_2_9b_skywork_pinv_0__1__2_1500,
  author = {georgeyw},
  title = {Gemma 2 9b Skywork Pinv 0 1 2 1500 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/georgeyw/gemma-2-9b-skywork-pinv_0_-1_-2_1500}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
georgeyw. (2026). Gemma 2 9b Skywork Pinv 0 1 2 1500 [Model]. Free2AITools. https://huggingface.co/georgeyw/gemma-2-9b-skywork-pinv_0_-1_-2_1500

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run gemma-2-9b-skywork-pinv_0_-1_-2_1500
🤗 HF Download
huggingface-cli download georgeyw/gemma-2-9b-skywork-pinv_0_-1_-2_1500
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 3
Recency (R) 98
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Gemma 2 9b Skywork Pinv 0 1 2 1500: Semantic (S:50), Authority (A:0), Popularity (P:3), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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Deployment Guide

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Technical Deep Dive

⚠ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
29Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--georgeyw--gemma-2-9b-skywork-pinv_0_-1_-2_1500
slug
georgeyw--gemma-2-9b-skywork-pinv_0_-1_-2_1500
source
huggingface
author
georgeyw
license
tags
transformers, safetensors, gemma2, text-classification, arxiv:1910.09700, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
9
context length
4,096
pipeline tag
text-classification
vram gb
8.1
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
29
stars
0
forks
0

Data indexed from public sources. Updated daily.