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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.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 usingq8_0gguf 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 |