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sft-trl-claim-ppo – AI Model by Tverous | AlphaNeural AI

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Tverous/
sft-trl-claim-ppo

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Training procedure

The following bitsandbytes quantization config was used during training:

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 0.4.0.dev0