🧠
Model

Atlas Gemma4 12b V9 Gguf

by kintsugicollective kintsugicollective/atlas-gemma4-12b-v9-gguf
Free2AITools Nexus Index
53.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 41
P: Popularity 29
R: Recency 99
Q: Quality 65
Tech Context
12 Params
4.096K Ctx
Vital Performance
1.5K DL / 30D
Low FNI signal 53.5 FNI Score
12B Params
4k Context
1.5K Downloads
24G GPU ~11GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID kintsugicollective/atlas-gemma4-12b-v9-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~10.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{kintsugicollective_atlas_gemma4_12b_v9_gguf,
  author = {kintsugicollective},
  title = {Atlas Gemma4 12b V9 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/kintsugicollective/atlas-gemma4-12b-v9-gguf}},
  note = {Accessed via Free2AITools.}
}
APA Style
kintsugicollective. (2026). Atlas Gemma4 12b V9 Gguf [Model]. Free2AITools. https://huggingface.co/kintsugicollective/atlas-gemma4-12b-v9-gguf

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run atlas-gemma4-12b-v9-gguf
πŸ€— HF Download
huggingface-cli download kintsugicollective/atlas-gemma4-12b-v9-gguf
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 41
Popularity (P) 29
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Atlas Gemma4 12b V9 Gguf: Authority (A:41), Popularity (P:29), Recency (R:99), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
1.5KDownloads
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--kintsugicollective--atlas-gemma4-12b-v9-gguf
slug
kintsugicollective--atlas-gemma4-12b-v9-gguf
source
huggingface
author
kintsugicollective
license
Apache-2.0
tags
transformers, gguf, text-generation-inference, unsloth, gemma4, en, base_model:google/gemma-4-12b-it, base_model:quantized:google/gemma-4-12b-it, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
12
context length
4,096
pipeline tag
vram gb
10.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,468
stars
null
forks
null

Data indexed from public sources. Updated daily.