---
base_model:
- appvoid/palmer-002-32k
- raidhon/coven_tiny_1.1b_32k_orpo_alpha
- appvoid/palmer-003
library_name: transformers
tags:
- mergekit
- merge

---

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![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 premier 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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