ericpolewski/ooyi

Training procedure

The following bitsandbytes quantization config was used during training:

• quant_method: gptq
• bits: 4
• tokenizer: None
• dataset: None
• group_size: -1
• damp_percent: 0.1
• desc_act: True
• sym: True
• true_sequential: True
• use_cuda_fp16: False
• 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: True
• max_input_length: None

The following bitsandbytes quantization config was used during training:

• quant_method: gptq
• bits: 4
• tokenizer: None
• dataset: None
• group_size: -1
• damp_percent: 0.1
• desc_act: True
• sym: True
• true_sequential: True
• use_cuda_fp16: False
• 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: True
• max_input_length: None

The following bitsandbytes quantization config was used during training:

• quant_method: bitsandbytes
• load_in_8bit: False
• load_in_4bit: True
• llm_int8_threshold: 6.0
• llm_int8_skip_modules: None
• llm_int8_enable_fp32_cpu_offload: False
• llm_int8_has_fp16_weight: False
• bnb_4bit_quant_type: nf4
• bnb_4bit_use_double_quant: True
• bnb_4bit_compute_dtype: float16

Framework versions

• PEFT 0.5.0

• PEFT 0.5.0

• PEFT 0.5.0