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samsum_philschmid_flan-t5-xxl-sharded-fp16_LORA_SEQ_2_SEQ_LM_attRMS0.1 – AI Model by JiaweiGuan | AlphaNeural AI
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samsum_philschmid_flan-t5-xxl-sharded-fp16_LORA_SEQ_2_SEQ_LM_attRMS0.1
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Training procedure
The following
bitsandbytes
quantization config was used during training:
quant_method: bitsandbytes
load_in_8bit: True
load_in_4bit: False
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: fp4
bnb_4bit_use_double_quant: False
bnb_4bit_compute_dtype: float32
Framework versions
PEFT 0.5.0
