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--- |
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base_model: |
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- appvoid/palmer-002-32k |
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- raidhon/coven_tiny_1.1b_32k_orpo_alpha |
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- appvoid/palmer-003 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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license: apache-2.0 |
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--- |
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<style> |
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@import url('https://fonts.googleapis.com/css2?family=Vollkorn:ital,wght@0,400..900;1,400..900&display=swap'); |
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</style> |
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<div style="background-color: #101010; border-radius: .5rem; padding: 2rem; font-family: monospace; font-size: .85rem; text-align: justify;"> |
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#### Introducing palmer-004 |
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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. |
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| Model | MMLU | ARC-C | HellaSwag | PIQA | Winogrande | |
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|---------------|-------|-------|-----------|--------|------------| |
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| tinyllama-3t | 0.2577| 0.3029| 0.5935 | 0.7329 | 0.5959 | |
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| palmer-003 | 0.2523| 0.3439| 0.6208 | 0.7524 | 0.6590 | |
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| palmer-004 | 0.2601| 0.3456| 0.6138 | 0.7443 | 0.6511 | |
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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. |
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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. |
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</div> |
