🧠
Trinity Mini Base model by Arcee Ai
⭐ 55.6
🧠
Model

Trinity Mini Base

by Arcee Ai arcee-ai/trinity-mini-base
Free2AITools Nexus Index
55.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 48
P: Popularity 31
R: Recency 97
Q: Quality 65
Tech Context
26.12 Params
4.096K Ctx
Vital Performance
1.7K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 55.6 FNI Score
26.12B Params
4k Context
1.7K Downloads
24G GPU ~21GB Est. VRAM
MoE Expert AFMOEFORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID arcee-ai/trinity-mini-base
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~20.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{arcee_ai_trinity_mini_base,
  author = {Arcee Ai},
  title = {Trinity Mini Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/arcee-ai/Trinity-Mini-Base}},
  note = {Accessed via Free2AITools.}
}
APA Style
Arcee Ai. (2026). Trinity Mini Base [Model]. Free2AITools. https://huggingface.co/arcee-ai/Trinity-Mini-Base

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run trinity-mini-base
πŸ€— HF Download
huggingface-cli download arcee-ai/trinity-mini-base
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) 48
Popularity (P) 31
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Trinity Mini Base: Authority (A:48), Popularity (P:31), 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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πŸš€ What's Next?

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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
1.7KDownloads
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--arcee-ai--trinity-mini-base
slug
arcee-ai--trinity-mini-base
source
huggingface
author
Arcee Ai
license
Other
tags
transformers, safetensors, afmoe, text-generation, conversational, custom_code, en, es, fr, de, it, pt, ru, ar, hi, ko, zh, base_model:arcee-ai/trinity-mini-base-pre-anneal, license:other, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
AfmoeForCausalLM
params billions
26.12
context length
4,096
pipeline tag
text-generation
vram gb
20.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,735
stars
null
forks
null

Data indexed from public sources. Updated daily.