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mistral-finetuned-samsum
W1lson/mistral-finetuned-samsum
mistral-finetuned-samsum is a machine learning model from W1lson. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
The following bitsandbytes quantization config was used during training: - quantmethod: gptq - bits: 4 - tokenizer: None - dataset: None - groupsize: 128 - damppercent: 0.1 - descact: True - sym: True - truesequential…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Oct 9, 2023
- Updated
- Oct 11, 2023
- SHA
- 42b5e6af
Model card
From the Hugging Face model README
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: 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: False
- max_input_length: None
The following bitsandbytes quantization config was used during training:
- quant_method: 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
The following bitsandbytes quantization config was used during training:
- quant_method: 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
Framework versions
-
PEFT 0.5.0
-
PEFT 0.5.0
-
PEFT 0.5.0
- Library
- peft
- Created
- Oct 9, 2023
- Updated
- Oct 11, 2023