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--- |
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license: llama2 |
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tags: |
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- merge |
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- mergekit |
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--- |
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Llama 2 13b is a pretty decent language model. You know what's probably better? *Two* Llama 2 13b models. In a trenchcoat. |
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Produced by [`bakllama.py`](https://github.com/cg123/mergekit/blob/main/bakllama.py) with this config file: |
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```yml |
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layer_slices: |
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- model: TheBloke/Llama-2-13B-fp16 |
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start: 0 |
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end: 40 |
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- model: TheBloke/Llama-2-13B-fp16 |
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start: 0 |
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end: 40 |
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``` |
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No fine tuning was done on this model. Yes, it's still coherent somehow. |
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Benchmark results: |
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| Benchmark | Llama2-13b | Llama2-26b-tcs | Percent Change | |
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| --- | --- | --- | --- | |
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| ARC | 59.3 | 55.03 | -7.2% | |
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| HellaSwag | 82.15 | 79.9 | -2.74% | |
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| MMLU | 55.67 | 53.73| -3.48% | |
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| TruthfulQA | 37.39 | 40.48 | +5.59% | |
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| Average | 58.63 | 57.29 | -2.29% | |
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| Average Minus TQA | 65.70 | 62.85 | -4.34% | |
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This tells us two very important things: |
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1. TruthfulQA is a perfect benchmark in every way. |
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2. Llama models are amazingly robust to being fed their own output. |
