| <p><strong><font size="5">Information</font></strong></p> | |
| Alpaca 30B 4-bit working with GPTQ versions used in Oobabooga's Text Generation Webui and KoboldAI. | |
| <p>Quantized using <i>--true-sequential</i> and <i>--groupsize 128</i> optimizations.</p> | |
| This was made using Chansung's 30B Alpaca Lora: https://huggingface.co/chansung/alpaca-lora-30b | |
| <p><strong><font size="5">Update 04.06.2023</font></strong></p> | |
| <p>This is a more recent merge of Chansung's Alpaca Lora which was updated using the clean alpaca dataset as of 04/06/2023 with refined training parameters</p> | |
| <p><strong>Training Parameters</strong></p> | |
| <ul><li>num_epochs=10</li><li>cutoff_len=512</li><li>group_by_length</li><li>lora_target_modules='[q_proj,k_proj,v_proj,o_proj]'</li><li>lora_r=16</li><li>micro_batch_size=8</li></ul> | |
| <p><strong><font size="5">Benchmarks</font></strong></p> | |
| <strong>Wikitext2</strong>: 4.37 | |
| <strong>Ptb</strong>: 7.58 | |
| <strong>C4</strong>: 6.19 | |
| <strong>Note</strong>: This version uses <i>--groupsize 128</i>, resulting in better evaluations. However, it consumes more VRAM. |