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yontonsoup
/
qna
:latest
78
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Updated
1 year ago
Using roberta-base model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.
Using roberta-base model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.
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Updated 1 year ago
1 year ago
1c12eadce13e · 5.1GB ·
model
arch
llama
·
parameters
7.24B
·
quantization
Q5_K_M
5.1GB
system
"A chat between a curious user and an artificial intelligence question and answer assistant. Expect
175B
params
{ "stop": [ "[INST]", "[/INST]" ] }
30B
template
[INST] {{ .System }} {{ .Prompt }} [/INST]
42B
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