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mistral-finetuned-samsum – AI Model by W1lson | AlphaNeural AI

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W1lson/
mistral-finetuned-samsum

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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