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--- |
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license: other |
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datasets: |
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- JeanKaddour/minipile |
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language: |
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- en |
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--- |
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Meta's Llama 3 70B pruned to 42B parameters using the methodology described in [The Unreasonable Ineffectiveness of the Deeper Layers](https://arxiv.org/abs/2403.17887). Post-pruning trained using QLoRA for ~100M tokens from [JeanKaddour/minipile](https://huggingface.co/datasets/JeanKaddour/minipile). |
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Layers to prune selected using [PruneMe](https://github.com/arcee-ai/PruneMe). |
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Still evaluating, don't get too excited! Might be incredibly dumb. Check out these zero-shot MMLU numbers though: |
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| Groups |Version|Filter|n-shot|Metric|Value | |Stderr| |
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|------------------|-------|------|-----:|------|-----:|---|-----:| |
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|mmlu |N/A |none | 0|acc |0.7319|± |0.0034| |
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| - humanities |N/A |none | 0|acc |0.6582|± |0.0063| |
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| - other |N/A |none | 0|acc |0.7927|± |0.0069| |
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| - social_sciences|N/A |none | 0|acc |0.8466|± |0.0064| |
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| - stem |N/A |none | 0|acc |0.6702|± |0.0079| |
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5-shot: |
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| Groups |Version|Filter|n-shot|Metric|Value | |Stderr| |
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|------------------|-------|------|-----:|------|-----:|---|-----:| |
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|mmlu |N/A |none | 0|acc |0.7669|± |0.0034| |
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| - humanities |N/A |none | 5|acc |0.7296|± |0.0062| |
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| - other |N/A |none | 5|acc |0.8101|± |0.0067| |
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| - social_sciences|N/A |none | 5|acc |0.8668|± |0.0060| |
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| - stem |N/A |none | 5|acc |0.6825|± |0.0079| |
