🧠
Gemopus 4 26b A4b It Gguf model by nassimjp
⭐ 39.1
🧠
Model

Gemopus 4 26b A4b It Gguf

by nassimjp hf-model--nassimjp--gemopus-4-26b-a4b-it-gguf
Nexus Index
39.1 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 16
R: Recency 98
Q: Quality 50
Tech Context
26 Params
4.096K Ctx
Vital Performance
310 DL / 30D
0.0%
Source →
Audited 39.1 FNI Score
26B Params
4k Context
310 Downloads
24G GPU ~21GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--nassimjp--gemopus-4-26b-a4b-it-gguf
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~20.8GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__nassimjp__gemopus_4_26b_a4b_it_gguf,
  author = {nassimjp},
  title = {Gemopus 4 26b A4b It Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/nassimjp/gemopus-4-26b-a4b-it-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
nassimjp. (2026). Gemopus 4 26b A4b It Gguf [Model]. Free2AITools. https://huggingface.co/nassimjp/gemopus-4-26b-a4b-it-gguf

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run gemopus-4-26b-a4b-it-gguf
🤗 HF Download
huggingface-cli download nassimjp/gemopus-4-26b-a4b-it-gguf

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.1
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 16
Recency (R) 98
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Gemopus 4 26b A4b It Gguf: Semantic (S:50), Authority (A:0), Popularity (P:16), Recency (R:98), Quality (Q:50).

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.

View Original Source →

📝 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
310Downloads
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--nassimjp--gemopus-4-26b-a4b-it-gguf
slug
nassimjp--gemopus-4-26b-a4b-it-gguf
source
huggingface
author
nassimjp
license
Apache-2.0
tags
gguf, gemma4, gemma, instruction-tuned, reasoning, alignment, text-generation, en, zh, ko, ja, license:apache-2.0, endpoints_compatible, region:us, conversational

⚙ī¸ Technical Specs

architecture
null
params billions
26
context length
4,096
pipeline tag
text-generation
vram gb
20.8
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
310
stars
0
forks
null

Data indexed from public sources. Updated daily.