README.md

Information

Alpaca 30B 4-bit working with GPTQ versions used in Oobabooga's Text Generation Webui and KoboldAI.

Quantized using --true-sequential and --groupsize 128 optimizations.

This was made using Chansung's 30B Alpaca Lora: https://huggingface.co/chansung/alpaca-lora-30b

Update 04.06.2023

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

Training Parameters

• num_epochs=10
• cutoff_len=512
• group_by_length
• lora_target_modules='[q_proj,k_proj,v_proj,o_proj]'
• lora_r=16
• micro_batch_size=8

Benchmarks

Wikitext2: 4.473957061767578

Ptb-New: 8.682597160339355

C4-New: 6.517213344573975

Note: This version uses --groupsize 128, resulting in better evaluations. However, it consumes more VRAM.