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dhmeltzer/Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16

sourceHugging Faceupdated 3y agoView on Hugging Face
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Training procedure

The following bitsandbytes quantization config was used during training:

  • —quant_method: bitsandbytes
  • —loadin8bit: False
  • —loadin4bit: True
  • —llmint8threshold: 6.0
  • —llmint8skip_modules: None
  • —llmint8enablefp32cpu_offload: False
  • —llmint8hasfp16weight: False
  • —bnb4bitquant_type: nf4
  • —bnb4bitusedoublequant: True
  • —bnb4bitcompute_dtype: bfloat16

Framework versions

  • —PEFT 0.4.0

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.48.08
ARC (25-shot)60.41
HellaSwag (10-shot)82.58
MMLU (5-shot)55.86
TruthfulQA (0-shot)43.61
Winogrande (5-shot)76.72
GSM8K (5-shot)8.49
DROP (3-shot)8.92