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Introduction of ML4SE23_G1_WizardCoder-SCoT-1B-V1.0
Model Details of ML4SE23_G1_WizardCoder-SCoT-1B-V1.0
ML4SE23_G1_WizardCoder-SCoT-1B-V1.0
IN4334 ML4SE
Group1 WizardCoder
This model is the result of the fine-tunign of the WizardCoder-1B-V1.0 model using Structured Chain-of-Though (S-CoT) enhanced instructions.
S-CoT is used to enhance a sample of about 1200 entries from the Evol-Instruct 80k dataset.
The resulting dataset is then used for the training task.
The current WizardCoder model and the new S-CoT fine-tuned one are compared on both versions of HumanEval and MBPP (S-CoT enhanced and not) on the pass@1 metric.
The S-CoT enhancement of the evaluation datasets allows to study its effect when used just as a prompting technique, independently of the S-CoT fine-tuning of the model.
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ML4SE23_G1_WizardCoder-SCoT-1B-V1.0 is an open source model from GitHub that offers a free installation service, and any user can find ML4SE23_G1_WizardCoder-SCoT-1B-V1.0 on GitHub to install. At the same time, huggingface.co provides the effect of ML4SE23_G1_WizardCoder-SCoT-1B-V1.0 install, users can directly use ML4SE23_G1_WizardCoder-SCoT-1B-V1.0 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
ML4SE23_G1_WizardCoder-SCoT-1B-V1.0 install url in huggingface.co: