Downloads · 30 days
27
18% of all-time downloads
0xSero/Trinity-337B
Trinity-337B is a text generation model from 0xSero. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
[!TIP] Support this work → · X · GitHub · REAP paper · Cerebras REAP
Downloads · 30 days
27
18% of all-time downloads
All-time downloads
146
Public
Parameters
337B
675 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors675 GB · 100%
How the weights are stored.
BF16337B · 100%
From the Hugging Face model README
[!TIP] Support this work → · X · GitHub · REAP paper · Cerebras REAP
REAP-pruned the base model.
| Base model | — |
| Format | BF16 |
| Total params | 337B |
| Active / token | — |
| Experts / layer | 216 |
| Layers | 60 |
| Hidden size | 3072 |
| Context | 262,144 |
| On-disk size | 675 GB |
| Variant | Format | Link |
|---|---|---|
Trinity-337B (this) | BF16 | link |
Trinity-337B-W4A16 | W4A16 | link |
Trinity-337B-W4A16-192 | W4A16 | link |
License inherited from the base model.
@misc{lasby2025reap,
title = {REAP the Experts: Why Pruning Prevails for One-Shot MoE Compression},
author = {Mike Lasby and Ivan Lazarevich and Nish Sinnadurai and Sean Lie and Yani Ioannou and Vithursan Thangarasa},
year = {2025}, eprint = {2510.13999}, archivePrefix = {arXiv}
}
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