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---
license: apache-2.0
---


<style>
    img{
    user-select: none;
    transition: all 0.2s ease;
    border-radius: .5rem;
  }
    img:hover{
    transform: rotate(2deg);
    filter: invert(100%);
  }
@import url('https://fonts.googleapis.com/css2?family=Vollkorn:ital,wght@0,400..900;1,400..900&display=swap');
</style>

<div style="background-color: transparent; border-radius: .5rem; padding: 2rem; font-family: monospace; font-size: .85rem; text-align: justify;">
  
![palmer-004](https://huggingface.co/appvoid/palmer-004-original/resolve/main/palmer-004.jpeg)

**September Update** - this is the official model used in dot, keep in mind, none of these models use specific prompts, you might need to fine-tune them to use them as chatbots.

#### benchmarks

zero-shot evaluations performed on current sota ~0.5b models against the best language model below 2b parameters.

| Parameters | Model                          | MMLU  | ARC-C | HellaSwag | PIQA   | Winogrande | Average |
| -----------|--------------------------------|-------|-------|-----------|--------|------------|---------|
| 0.5b       | qwen2                         |**0.4413**| 0.2892| 0.4905    | 0.6931 | 0.5699  | 0.4968  |
| 0.6b       | mobilellm                      | -     | 0.3580| 0.5590    | 0.7230 | 0.5860     | -       |
| 0.5b       | danube3                        | 0.2481| 0.3618| 0.6046   | 0.7378 | 0.6101     | 0.5125  |
| 0.5b       | palmer                         |0.2617|**0.3729**|**0.6288**|**0.7437**| **0.6227** |**0.5260**| 
| 1.7b       | smollm                         |0.2765|0.4626| 0.6574    | 0.7606 | 0.6093      | 0.5533  |

#### supporters

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</div>