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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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The following `bitsandbytes` quantization config was used during training: |
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- quant_method: gptq |
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- bits: 4 |
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- tokenizer: None |
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- dataset: None |
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- group_size: 128 |
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- damp_percent: 0.01 |
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- desc_act: True |
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- sym: True |
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- true_sequential: True |
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- use_cuda_fp16: False |
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- model_seqlen: None |
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- block_name_to_quantize: None |
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- module_name_preceding_first_block: None |
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- batch_size: 1 |
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- pad_token_id: None |
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- disable_exllama: True |
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- max_input_length: None |
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|
|
The following `bitsandbytes` quantization config was used during training: |
|
- quant_method: gptq |
|
- bits: 4 |
|
- tokenizer: None |
|
- dataset: None |
|
- group_size: 128 |
|
- damp_percent: 0.01 |
|
- desc_act: True |
|
- sym: True |
|
- true_sequential: True |
|
- use_cuda_fp16: False |
|
- model_seqlen: None |
|
- block_name_to_quantize: None |
|
- module_name_preceding_first_block: None |
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- batch_size: 1 |
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- pad_token_id: None |
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- disable_exllama: True |
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- max_input_length: None |
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### Framework versions |
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- PEFT 0.6.0.dev0 |
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- PEFT 0.6.0.dev0 |
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