Dense 768, 19 Layers

Inference checkpoint for the dense baseline released with Mixture of Wide Experts.

Property Value
Parameters 103.46M
Transformer layers 19
Model width 768
Attention heads 12
FFN hidden width 455
Context length 1,024
Tokenizer GPT-2

The checkpoint is an inference-only safetensors state dictionary. It contains no optimizer state. This is a base language model and is not instruction-tuned.

Loading

Install the companion MoWE extension for OpenLanguageModel, then load this repository directory:

import torch

from mowe import load_checkpoint

model = load_checkpoint(
    "/path/to/dense-768-19l",
    device="cuda",
    dtype=torch.bfloat16,
).eval()

Limitations

This is a small research model. It may produce incorrect, biased, unsafe, or memorized text and should not be used as a production assistant without separate evaluation and safeguards.

License

Released under the Apache License 2.0. Please cite the accompanying MoWE paper.

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