Information
GPT4-X-Alpaca 30B 4-bit working with GPTQ versions used in Oobabooga's Text Generation Webui and KoboldAI.Quantized using --true-sequential and --act-order optimizations.
This was made using Chansung's GPT4-Alpaca Lora: https://huggingface.co./chansung/gpt4-alpaca-lora-30bTraining 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: 4.481280326843262
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.