palmer-005-core

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Model card

cubby

In this repository, we propose the next iteration of palmer, a new family of small language models trained with better foundational models, better data but same tasks: Text rewriting, paraphrasing, tone transfer, grammar-style editing, the important distinction is instruction-following text transformations. With only 350m parameters, this model is perfect for experiments on laptops and mobile devices.

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Leaderboard

Our custom evaluation consists of 100 text-editing tasks where the model has to modify a diversity of texts in different ways. All models were evaluated using q8_0 gguf quantization. | Model | Avg | Emb | String | Token | Rule | Exact | Strict | Flagged | Params | |---:|---|---:|---:|---:|---:|---:|---:|---:|---| | 🥇 core | 88.53 | 96.56 | 85.19 | 82.33 | 91.14 | 51/100 | 75/100 | 10/100 | 350m | | nano | 84.70 | 95.81 | 81.12 | 78.22 | 87.57 | 39/100 | 68/100 | 19/100 | 90m | | lfm2 | 72.04 | 93.19 | 62.00 | 56.22 | 75.35 | 21/100 | 40/100 | 35/100 | 700m |

As people already know, leaderboards are not enough, they're just a small light in the right direction. So, if you find its weaknesses, don't hesitate to share them, this way it's ensured a better experience for the whole community.

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If you are an individual, you're totally free to make money with the model as long as you properly credit the model being used in your products. If you are a company, you need to get a license at this email for commercial purposes.

Note: the model has not been tested as a chat assistant and it might not work as intended, use with caution.