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Gemma 7B Zephyr SFT

The Zephyr SFT recipe applied on top of Gemma 7B

Model description

  • Model type: A 8.5B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
  • Language(s) (NLP): Primarily English
  • Finetuned from model: google/gemma-7b

Recipe

We trained using the alignment handbook recipe and logging to W&B

Visit the W&B workspace here

License

This model has the same license as the original Gemma model collection

Compute provided by Lambda Labs - 8xA100 80GB node

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 61.64
AI2 Reasoning Challenge (25-Shot) 61.43
HellaSwag (10-Shot) 80.73
MMLU (5-Shot) 60.33
TruthfulQA (0-shot) 43.35
Winogrande (5-shot) 74.19
GSM8k (5-shot) 49.81
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Model size
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Base model

google/gemma-7b
Finetuned
(81)
this model
Finetunes
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Dataset used to train wandb/gemma-7b-zephyr-sft

Evaluation results