![palmer-004](https://huggingface.co/appvoid/palmer-004/resolve/main/palmer-004.jpeg) #### Introducing palmer-004 We are thrilled to unveil palmer-004, the fourth iteration in our esteemed palmer series, designed to push the boundaries of performance and context window capacity. Merging the best of palmer-003 with the expansive capabilities of palmer-002-32k, palmer-004 is a testament to the power of merging similar trained models, think of it as palmer-003 with 32k context with minimal performance degradation. | Model | MMLU | ARC-C | HellaSwag | PIQA | Winogrande | |---------------|-------|-------|-----------|--------|------------| | tinyllama-3t | 0.2577| 0.3029| 0.5935 | 0.7329 | 0.5959 | | palmer-003 | 0.2523| 0.3439| 0.6208 | 0.7524 | 0.6590 | | palmer-004 | 0.2601| 0.3456| 0.6138 | 0.7443 | 0.6511 | Crafted using the TIES merge method, palmer-004 elevates its predecessor's prowess to a remarkable 32k context window without needing to train on additional data. This model doesn't just aim to match; it surpasses, outperforming the current state-of-the-art coven_tiny_1.1b_32k_orpo_alpha on several benchmarks. As of June 1, 2024, palmer-004 stands as the 2nd best 1b overall model as well as the best 32k 1B model to fine-tune from on Hugging Face, setting a new standard for excellence in the open-source AI community. If you are using Windows, you can now support me by purchasing a copy of [quark, a cool text editor](https://appvoid.itch.io/quark) that uses language models. Still in beta but super cool still.