What are the hardware requirements for Trinity Large Thinking W4A16?

Trinity Large Thinking W4A16 requires approximately 210 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 W4A16 and how large is it?

Trinity Large Thinking W4A16 is developed by arcee-ai, a model with 57.3b 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 Large Thinking W4A16?

Trinity Large Thinking W4A16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trinity Large Thinking W4A16 by arcee-ai — VRAM 210GB, 256K context

Name: Trinity Large Thinking W4A16
Author: arcee-ai

Trinity Large Thinking W4A16 is an open-source language model by arcee-ai. Features: 57.3b LLM, VRAM: 210GB, Context: 256K, License: other, LLM Explorer Score: 0.24.

Arxiv:2602.17004 Afmoe Agentic Ar Base model:arcee-ai/trinity-la... Base model:quantized:arcee-ai/... Compressed-tensors Conversational Custom code De En Endpoints compatible Es 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-W4A16

Trinity Large Thinking W4A16 Parameters and Internals

LLM Name	Trinity Large Thinking W4A16
Repository 🤗	https://huggingface.co/arcee-ai/Trinity-Large-Thinking-W4A16
Base Model(s)	Trinity Large Thinking arcee-ai/Trinity-Large-Thinking
Model Size	57.3b
Required VRAM	210 GB
Updated	2026-08-09
Maintainer	arcee-ai
Model Type	afmoe
Model Files	5.0 GB: 1-of-43 5.0 GB: 2-of-43 5.0 GB: 3-of-43 5.0 GB: 4-of-43 5.0 GB: 5-of-43 5.0 GB: 6-of-43 5.0 GB: 7-of-43 5.0 GB: 8-of-43 5.0 GB: 9-of-43 5.0 GB: 10-of-43 5.0 GB: 11-of-43 5.0 GB: 12-of-43 5.0 GB: 13-of-43 5.0 GB: 14-of-43 5.0 GB: 15-of-43 5.0 GB: 16-of-43 5.0 GB: 17-of-43 5.0 GB: 18-of-43 5.0 GB: 19-of-43 5.0 GB: 20-of-43 5.0 GB: 21-of-43 5.0 GB: 22-of-43 5.0 GB: 23-of-43 5.0 GB: 24-of-43 5.0 GB: 25-of-43 5.0 GB: 26-of-43 5.0 GB: 27-of-43 5.0 GB: 28-of-43 5.0 GB: 29-of-43 5.0 GB: 30-of-43 5.0 GB: 31-of-43 5.0 GB: 32-of-43 5.0 GB: 33-of-43 5.0 GB: 34-of-43 5.0 GB: 35-of-43 5.0 GB: 36-of-43 5.0 GB: 37-of-43 5.0 GB: 38-of-43 5.0 GB: 39-of-43 5.0 GB: 40-of-43 5.0 GB: 41-of-43 5.0 GB: 42-of-43
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	4.57.6
Vocabulary Size	200192

Rank the Trinity Large Thinking W4A16 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 W4A16

Best Alternatives	Context / RAM	Downloads	Likes
Trinity Large Preview W4A16	256K / 213.1 GB	105	8