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Fenrir X 26b A4b model by Vortex5
⭐ 48.6
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Model

Fenrir X 26b A4b

by Vortex5 vortex5/fenrir-x-26b-a4b
Free2AITools Nexus Index
48.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 0
R: Recency 97
Q: Quality 65
Tech Context
25.81 Params
8.192K Ctx
Vital Performance
2 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 48.6 FNI Score
25.81B Params
8k Context
2 Downloads
24G GPU ~21GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID vortex5/fenrir-x-26b-a4b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~20.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{vortex5_fenrir_x_26b_a4b,
  author = {Vortex5},
  title = {Fenrir X 26b A4b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Vortex5/Fenrir-X-26B-A4B}},
  note = {Accessed via Free2AITools.}
}
APA Style
Vortex5. (2026). Fenrir X 26b A4b [Model]. Free2AITools. https://huggingface.co/Vortex5/Fenrir-X-26B-A4B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run fenrir-x-26b-a4b
πŸ€— HF Download
huggingface-cli download vortex5/fenrir-x-26b-a4b
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) 39
Popularity (P) 0
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Fenrir X 26b A4b: Authority (A:39), Popularity (P:0), Recency (R:97), 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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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.

Social Proof

HuggingFace Hub
2Downloads
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--vortex5--fenrir-x-26b-a4b
slug
vortex5--fenrir-x-26b-a4b
source
huggingface
author
Vortex5
license
Apache-2.0
tags
transformers, safetensors, gemma4, image-text-to-text, mergekit, merge, roleplay, storytelling, conversational, base_model:electroglyph/gemma4-26b-fiction-bf16, base_model:google/gemma-4-26b-a4b-it, base_model:merge:google/gemma-4-26b-a4b-it, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
25.81
context length
8,192
pipeline tag
image-text-to-text
vram gb
20.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2

Data indexed from public sources. Updated daily.