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Model: vmajor/Orca2-13B-selfmerge-39B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: ms-pl
+tags:
+- merge
+---
+This model is a result of merging three Orca2-13B models with itself using 'mergekit-legacy'. Merge parameters were passthrough for one and --weight 0.5 --density 0.5 for the second merge.
+
+
+This merged model showed marginal improvement in perplexity scores:
+
+The perplexity for Orca-2-13b is: 7.595028877258301
+The perplexity for orca2-26B-self-merge is: 7.550178050994873
+The perplexity for orca2-39B-self-merge is: NC
+
+The following table summarizes the model performance across a range of benchmarks:
+
+| Model                              | Average  | ARC   | HellaSwag | MMLU  | TruthfulQA | Winogrande | GSM8K |
+|------------------------------------|-------------|-------|-----------|-------|------------|------------|-------|
+| microsoft/Orca-2-13b               | 58.64       | 60.67 | 79.81     | 60.37 | 56.41      | 76.64      | 17.97 |
+| vmajor/Orca2-13B-selfmerge-26B     | 62.24       | 60.84 | 79.84     | 60.32 | 56.38      | 76.87      | 39.2  |
+| vmajor/Orca2-13B-selfmerge-39B     | 62.24       | 60.84 | 79.84     | 60.32 | 56.38      | 76.87      | 39.2  |
+
+Interestingly the GSM8K performance more than doubled with the first self merge. Second self merge resulting in the 39B model did not produce any further gains.
+
+
+---
+license: ms-pl
+---

added_tokens.json

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config.json

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+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32003
+}

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tokenizer_config.json

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