Training procedure

The following bitsandbytes quantization config was used during training:

• quant_method: gptq
• bits: 4
• tokenizer: None
• dataset: None
• group_size: 128
• damp_percent: 0.1
• desc_act: True
• sym: True
• true_sequential: True
• use_cuda_fp16: True
• model_seqlen: 4096
• block_name_to_quantize: model.layers
• module_name_preceding_first_block: ['model.embed_tokens']
• batch_size: 1
• pad_token_id: None
• disable_exllama: False
• max_input_length: None

Framework versions

• PEFT 0.5.0