Downloads · 30 days
476
9% of all-time downloads
arcee-ai/Trinity-Large-Preview-GGUF
Trinity-Large-Preview-GGUF is a machine learning model from arcee-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
<div align="center" <picture <img src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOWmgVGeic9WJ.png" alt="Arcee Trinity Large" style="max-width: 100%; height: auto;" </pictur…
Downloads · 30 days
476
9% of all-time downloads
All-time downloads
5.3K
Public
Repo size
1.3 TB
Likes
10
Public
Click a slice to open those files.
.gguf5.7 TB · 100%
From the Hugging Face model README
Trinity-Large-Preview is a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. It is the largest model in Arcee AI's Trinity family, trained on more than 17 trillion tokens and delivering frontier-level performance with strong long-context comprehension. Trinity-Large-Preview is a lightly post-trained model based on Trinity-Large-Base.
This repository contains the GGUF quantized weights of Trinity-Large-Preview.
Try it at chat.arcee.ai
More details on the training of Trinity Large are available in the technical report.
The Trinity Large family consists of three checkpoints from the same training run:
Trinity-Large-Preview uses a sparse MoE configuration designed to maximize efficiency while maintaining large-scale capacity.
| Hyperparameter | Value |
|---|---|
| Total parameters | ~398B |
| Active parameters per token | ~13B |
| Experts | 256 (1 shared) |
| Active experts | 4 |
| Routing strategy | 4-of-256 (1.56% sparsity) |
| Dense layers | 6 |
| Pretraining context length | 8,192 |
| Context length after extension | 512k |
| Architecture | Sparse MoE (AfmoeForCausalLM) |
| Benchmark | Llama 4 Maverick | Trinity-Large Preview |
|---|---|---|
| MMLU | 85.5 | 87.2 |
| MMLU-Pro | 80.5 | 75.2 |
| GPQA-Diamond | 69.8 | 63.3 |
| AIME 2025 | 19.3 | 24.0 |
Supported in llama.cpp release b7061+
llama-server -hf arcee-ai/Trinity-Large-Preview-GGUF:q4_k_m
Supported in the latest LM Studio runtime. Search for arcee-ai/Trinity-Large-Preview-GGUF in Model Search.
Available on OpenRouter:
curl -X POST "https://openrouter.ai/v1/chat/completions" \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "arcee-ai/trinity-large-preview",
"messages": [
{
"role": "user",
"content": "What are some fun things to do in New York?"
}
]
}'
Trinity-Large-Preview is released under the OpenMDW License, version 1.1 (OpenMDW-1.1).
@misc{arcee_trinity_large_preview,
title = {Trinity-Large-Preview},
author = {{Arcee AI}},
year = {2026},
note = {398B sparse MoE model trained on 17T tokens}
}