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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: False
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- - load_in_4bit: True
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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: True
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- - llm_int8_has_fp16_weight: False
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- - bnb_4bit_quant_type: nf4
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- - bnb_4bit_use_double_quant: True
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- - bnb_4bit_compute_dtype: bfloat16
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- ### Framework versions
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- - PEFT 0.5.0
 
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - pytorch
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+ - causal-lm
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+ - llama2
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+ - code llama
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+ - fine-tuning
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+ - flyte llama
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+ - flyte repo dataset
 
 
 
 
 
 
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+ ---
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+ # FlyteLlama-v0-7b-hf fine-tuned on Flyte repos