What are the hardware requirements for Trinity Mini?

Trinity Mini requires approximately 52.3 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Trinity Mini and how large is it?

Trinity Mini is developed by arcee-ai, a model with 26.1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Trinity Mini?

Trinity Mini is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trinity Mini by arcee-ai — VRAM 52.3GB, 128K context

Name: Trinity Mini
Author: arcee-ai

Trinity Mini is an open-source language model by arcee-ai. Features: 26.1b LLM, VRAM: 52.3GB, Context: 128K, License: other, LLM Explorer Score: 0.3.

Afmoe Ar Base model:arcee-ai/trinity-mi... Base model:finetune:arcee-ai/t... Conversational Custom code De En Endpoints compatible Es Fr Hi It Ko Pt Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/arcee-ai/Trinity-Mini

Trinity Mini Parameters and Internals

LLM Name	Trinity Mini
Repository 🤗	https://huggingface.co/arcee-ai/Trinity-Mini
Base Model(s)	Trinity Mini Base arcee-ai/Trinity-Mini-Base
Model Size	26.1b
Required VRAM	52.3 GB
Updated	2026-07-13
Maintainer	arcee-ai
Model Type	afmoe
Model Files	5.0 GB: 1-of-11 5.0 GB: 2-of-11 5.0 GB: 3-of-11 5.0 GB: 4-of-11 5.0 GB: 5-of-11 5.0 GB: 6-of-11 5.0 GB: 7-of-11 5.0 GB: 8-of-11 5.0 GB: 9-of-11 5.0 GB: 10-of-11 2.3 GB: 11-of-11
Supported Languages	en es fr de it pt ru ar hi ko zh
Model Architecture	AfmoeForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	200192

Rank the Trinity Mini capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Trinity Mini

Model	Likes	Downloads	VRAM
Trinity Mini 4bit	1	33	15 GB

Best Alternatives to Trinity Mini

Best Alternatives	Context / RAM	Downloads	Likes
Trinity Mini Base	128K / 52.3 GB	2331	22
Trinity Mini FP8 Block	128K / 27.8 GB	237	2
Trinity Mini Base Pre Anneal	4K / 52.3 GB	247	14