---
library_name: peft
base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ
---

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## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.GPTQ
- bits: 4
- tokenizer: None
- dataset: None
- group_size: 128
- damp_percent: 0.1
- 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
- batch_size: 1
- pad_token_id: None
- disable_exllama: True
- max_input_length: None
- use_exllama_v2: False
- disable_exllamav2: True

### Framework versions


- PEFT 0.6.0.dev0
## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.GPTQ
- bits: 4
- tokenizer: None
- dataset: None
- group_size: 128
- damp_percent: 0.1
- 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
- batch_size: 1
- pad_token_id: None
- disable_exllama: True
- max_input_length: None
- use_exllama_v2: False
- disable_exllamav2: True

### Framework versions


- PEFT 0.6.0.dev0