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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-30bUpdate 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: 4.473957061767578Ptb-New: 8.682597160339355
C4-New: 6.517213344573975
Note: This version uses --groupsize 128, resulting in better evaluations. However, it consumes more VRAM.
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