What are the hardware requirements for Trinity Large Preview FP8 Block?

Trinity Large Preview FP8 Block requires approximately 215 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 Preview FP8 Block and how large is it?

Trinity Large Preview FP8 Block is developed by arcee-ai, a model with 398.7b 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 Preview FP8 Block?

Trinity Large Preview FP8 Block is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trinity Large Preview FP8 Block by arcee-ai — VRAM 215GB, 256K context

Name: Trinity Large Preview FP8 Block
Author: arcee-ai

Trinity Large Preview FP8 Block is an open-source language model by arcee-ai. Features: 398.7b LLM, VRAM: 215GB, Context: 256K, License: other, LLM Explorer Score: 0.23.

Arxiv:2602.17004 Afmoe 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 Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/arcee-ai/Trinity-Large-Preview-FP8-Block

Trinity Large Preview FP8 Block Parameters and Internals

LLM Name	Trinity Large Preview FP8 Block
Repository 🤗	https://huggingface.co/arcee-ai/Trinity-Large-Preview-FP8-Block
Base Model(s)	Trinity Large Preview arcee-ai/Trinity-Large-Preview
Model Size	398.7b
Required VRAM	215 GB
Updated	2026-08-09
Maintainer	arcee-ai
Model Type	afmoe
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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

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Best Alternatives to Trinity Large Preview FP8 Block

Best Alternatives	Context / RAM	Downloads	Likes
...inity Large Thinking FP8 Block	256K / 210 GB	75	9

Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Trinity-Large-Preview-FP8-Block.