Information

GPT4-X-Alpaca 30B 4-bit working with GPTQ versions used in Oobabooga's Text Generation Webui and KoboldAI.

There are 2 quantized versions, one is using --true-sequential and --act-order optimizations, and the other is using --true-sequential and --groupsize 128 optimizations.

This was made using Chansung's GPT4-Alpaca Lora: https://huggingface.co/chansung/gpt4-alpaca-lora-30b

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

--true-sequential --act-order

Wikitext2: 4.481280326843262 Ptb-New: 8.539161682128906 C4-New: 6.451964855194092 Note: This version does not use --groupsize 128, therefore evaluations are minimally higher. However, this version allows fitting the whole model at full context using only 24GB VRAM.

--true-sequential --groupsize 128

Wikitext2: 4.285132884979248 Ptb-New: 8.34856128692627 C4-New: 6.292652130126953 Note: This version uses --groupsize 128, resulting in better evaluations. However, it consumes more VRAM.