tttonyalpha commited on
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uploaded LoRA config and weights

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README.md CHANGED
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  ---
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- license: mit
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ library_name: peft
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  ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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+ - load_in_8bit: True
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+ - load_in_4bit: False
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+ ### Framework versions
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+
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+
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+ - PEFT 0.5.0
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "ai-forever/FRED-T5-1.7B",
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.05,
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "target_modules": [
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+ "q",
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+ "v"
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+ ],
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+ "task_type": "SEQ_2_SEQ_LM"
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+ }
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