Update README.md

README.md

@@ -19,9 +19,9 @@ license: apache-2.0
 ![palmer-004](https://huggingface.co/appvoid/palmer-004/resolve/main/palmer-004.jpeg)
 
   
-#### Introducing palmer-004
+#### palmer-004 update
 
-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.
+This model has improved overall performance at the expense of small degradation on winogrande.
 
 | Model          | MMLU  | ARC-C | HellaSwag | PIQA   | Winogrande |
 |----------------|-------|-------|-----------|--------|------------|
@@ -30,9 +30,5 @@ We are thrilled to unveil palmer-004, the fourth iteration in our esteemed palme
 | palmer-004     | 0.2601| 0.3456| 0.6138    | 0.7443 | 0.6511     |
 | palmer-004-2406| 0.2661| 0.3490| 0.6173    | 0.7481 | 0.6417     |
 
-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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