🧠
Aileycore 12b model by Openminded Labs
⭐ 39.2
🧠
Model

Aileycore 12b

by Openminded Labs openminded-labs/aileycore-12b
Free2AITools Nexus Index
39.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 94
Q: Quality 65
Tech Context
11.99 Params
8.192K Ctx
Vital Performance
13 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.2 FNI Score
11.99B Params
8k Context
13 Downloads
24G GPU ~11GB Est. VRAM
Dense GEMMA4UNIFIEDFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID openminded-labs/aileycore-12b
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{openminded_labs_aileycore_12b,
  author = {Openminded Labs},
  title = {Aileycore 12b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/OpenMinded-Labs/AileyCore-12B}},
  note = {Accessed via Free2AITools.}
}
APA Style
Openminded Labs. (2026). Aileycore 12b [Model]. Free2AITools. https://huggingface.co/OpenMinded-Labs/AileyCore-12B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run aileycore-12b
πŸ€— HF Download
huggingface-cli download openminded-labs/aileycore-12b

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 2
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Aileycore 12b: Authority (A:0), Popularity (P:2), Recency (R:94), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
13Downloads
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--openminded-labs--aileycore-12b
slug
openminded-labs--aileycore-12b
source
huggingface
author
Openminded Labs
license
Apache-2.0
tags
mlx, safetensors, gemma4_unified, gemma, gemma4, fine-tuned, dora, lora, ailey, openminded, image-text-to-text, conversational, en, de, base_model:mlx-community/gemma-4-12b-it-6bit, license:apache-2.0, 6-bit, region:us

βš™οΈ Technical Specs

architecture
Gemma4UnifiedForConditionalGeneration
params billions
11.99
context length
8,192
pipeline tag
image-text-to-text
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
13

Data indexed from public sources. Updated daily.