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dhmeltzer/Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16
Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16 is a machine learning model from dhmeltzer. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
The following bitsandbytes quantization config was used during training: - quantmethod: bitsandbytes - loadin8bit: False - loadin4bit: True - llmint8threshold: 6.0 - llmint8skipmodules: None - llmint8enablefp32cpuoffl…
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From the Hugging Face model README
The following bitsandbytes quantization config was used during training:
Detailed results can be found here
| Metric | Value |
|---|---|
| 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 |