---
license: apache-2.0
---
# Lite-Oute-1-65M-Instruct
Lite-Oute-1-65M-Instruct is an experimental ultra-compact model in the Lite series, based on the LLaMA architecture and comprising approximately 65 million parameters.
The primary goal of this model was to explore the lower limits of model size while still maintaining basic language understanding capabilities.
Due to its extremely small size, this model demonstrates basic text generation abilities but may struggle with instructions or maintaining topic coherence.
Users should be aware of its significant limitations compared to larger models and expect inconsistent or potentially inaccurate responses.
## Available versions:
Lite-Oute-1-65M-Instruct
Lite-Oute-1-65M-Instruct-GGUF
Lite-Oute-1-65M
Lite-Oute-1-65M-GGUF
## Chat format
> [!IMPORTANT]
> This model uses **ChatML** template. Ensure you use the correct template:
```
<|im_start|>system
[System message]<|im_end|>
<|im_start|>user
[Your question or message]<|im_end|>
<|im_start|>assistant
[The model's response]<|im_end|>
```
Benchmark | 5-shot | 0-shot |
---|---|---|
ARC Challenge | 22.61 | 23.63 |
ARC Easy | 37.16 | 40.49 |
CommonsenseQA | 19.41 | 20.64 |
HellaSWAG | 28.74 | 28.41 |
MMLU | 25.20 | 23.45 |
OpenBookQA | 27.40 | 28.60 |
PIQA | 60.88 | 60.77 |
Winogrande | 50.59 | 50.04 |