Llama-Phi-3_DoRA / README.md
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metadata
datasets:
  - Sao10K/Claude-3-Opus-Instruct-15K
  - abacusai/SystemChat-1.1
  - Ba2han/DollyLlama-5k
language:
  - en
license: mit

hf-causal-experimental (pretrained='E:/text-generation-webui/models/phi-984-dora'), limit: None, provide_description: False, num_fewshot: 5, batch_size: None

Task Version Metric Value Stderr
arc_challenge 0 acc 0.5870 ± 0.0144
acc_norm 0.6067 ± 0.0143
hendrycksTest-abstract_algebra 1 acc 0.3500 ± 0.0479
acc_norm 0.3500 ± 0.0479
hendrycksTest-college_biology 1 acc 0.8264 ± 0.0317
acc_norm 0.8264 ± 0.0317
hendrycksTest-college_chemistry 1 acc 0.4900 ± 0.0502
acc_norm 0.4900 ± 0.0502
hendrycksTest-college_mathematics 1 acc 0.3900 ± 0.0490
acc_norm 0.3900 ± 0.0490
hendrycksTest-college_physics 1 acc 0.4020 ± 0.0488
acc_norm 0.4020 ± 0.0488
winogrande 0 acc 0.7309 ± 0.0125

We have Llama-3 at home!

The model has been trained on filtered versions of tagged datasets, as well as a few thousand more examples generated with llama-3-70B.

Use Zephyr template with any system message. Default system message should be:

You are a smart, friendly and helpful assistant.

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