---
language:
- en
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
tags:
- wiola
- decoder-only
- causal-language-model
- pytorch
- transformers
- research
---

# Wiola-360M

Wiola-360M is a 360 million parameter decoder-only language model developed by OSCOWL AI.

## Architecture

Wiola introduces several architectural improvements over a standard Transformer decoder:

- Grouped Query Attention (GQA)
- Spiral Rotary Positional Encoding (SRPE)
- Adaptive Token Merging (ATM)
- Gated Cross Layer Attention (GCLA)
- Dual Stream Feed Forward (DSFF)

## Model

- Parameters: 360M
- Context Length: 2048
- Vocabulary Size: 32000
- Attention Heads: 16
- Key/Value Heads: 4

## Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained(
    "oscowlai/Wiola360M",
    trust_remote_code=True,
)

model = AutoModelForCausalLM.from_pretrained(
    "oscowlai/Wiola360M",
    trust_remote_code=True,
)
```

## License

Apache-2.0