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llama2-qlora-finetunined-4-bit-prev-dataset-25e5-learning-rate – AI Model by NBA55 | AlphaNeural AI
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llama2-qlora-finetunined-4-bit-prev-dataset-25e5-learning-rate
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Training procedure
The following
bitsandbytes
quantization config was used during training:
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: False
bnb_4bit_compute_dtype: float16
Framework versions
PEFT 0.4.0
