What are the hardware requirements for Trinity Large Thinking?

Trinity Large Thinking requires approximately 798.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Trinity Large Thinking and how large is it?

Trinity Large Thinking is developed by arcee-ai, a model with 398.6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Trinity Large Thinking perform on standard benchmarks?

Trinity Large Thinking has the following published scores: LMSYS ELO 1369. Compare against reference models on this page or on the LLM Explorer leaderboards.

Trinity Large Thinking by arcee-ai — VRAM 798.4GB, 256K context

Name: Trinity Large Thinking
Author: arcee-ai

Trinity Large Thinking is an open-source language model by arcee-ai. Features: 398.6b LLM, VRAM: 798.4GB, Context: 256K, License: other, LLM Explorer Score: 0.45, ELO: 1369.

Arxiv:2602.17004 Afmoe Agentic Ar Base model:arcee-ai/trinity-la... Base model:finetune:arcee-ai/t... Conversational Custom code De En Endpoints compatible Es Eval-results Fr Hi It Ko Pt Reasoning Region:us Ru Safetensors Sharded Tensorflow Thinking Tool-calling Zh

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

Trinity Large Thinking Benchmarks

LMSys ELO 1369 vs 1272 (so35) 7.6%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Trinity Large Thinking Parameters and Internals

LLM Name	Trinity Large Thinking
Repository 🤗	https://huggingface.co/arcee-ai/Trinity-Large-Thinking
Base Model(s)	Trinity Large Base arcee-ai/Trinity-Large-Base
Model Size	398.6b
Required VRAM	798.4 GB
Updated	2026-07-28
Maintainer	arcee-ai
Model Type	afmoe
Model Files	2.5 GB: 1-of-31 0.7 GB: 2-of-31 0.7 GB: 3-of-31 0.7 GB: 4-of-31 29.4 GB: 5-of-31 29.4 GB: 6-of-31 29.4 GB: 7-of-31 29.4 GB: 8-of-31 29.4 GB: 9-of-31 29.4 GB: 10-of-31 29.4 GB: 11-of-31 29.4 GB: 12-of-31 29.4 GB: 13-of-31 29.4 GB: 14-of-31 29.4 GB: 15-of-31 29.4 GB: 16-of-31 29.4 GB: 17-of-31 29.4 GB: 18-of-31 29.4 GB: 19-of-31 29.4 GB: 20-of-31 29.4 GB: 21-of-31 29.4 GB: 22-of-31 29.4 GB: 23-of-31 29.4 GB: 24-of-31 29.4 GB: 25-of-31 29.4 GB: 26-of-31 29.4 GB: 27-of-31 29.4 GB: 28-of-31 29.4 GB: 29-of-31 29.4 GB: 30-of-31 29.4 GB: 31-of-31
Supported Languages	en es fr de it pt ru ar hi ko zh
Model Architecture	AfmoeForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	200192

Rank the Trinity Large Thinking 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

Best Alternatives to Trinity Large Thinking

Best Alternatives	Context / RAM	Downloads	Likes
Trinity Large Preview	256K / 798.4 GB	313	181
Trinity Large Base	256K / 798.4 GB	370	57
Trinity Large TrueBase	8K / 798.4 GB	286	68
Trinity Large Thinking 8bit	256K / 221.4 GB	27	1
Trinity Large Preview 8bit	256K / 226.6 GB	18	1