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appvoid

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https://ko-fi.com/appvoid

AI & ML interests

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reacted to ajibawa-2023's post with 🔥 about 4 hours ago

Shell-Code-Large Dataset: https://huggingface.co/datasets/ajibawa-2023/Shell-Code-Large Shell-Code-Large is a large-scale corpus of Shell scripting source code comprising approximately 640,000 code samples stored in JSON Lines (.jsonl) format. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, DevOps automation, cloud infrastructure engineering, system administration, and software engineering automation. By providing a high-volume, language-specific corpus focused exclusively on Shell scripting, Shell-Code-Large enables systematic experimentation in automation workflows, deployment pipelines, infrastructure management, and command-line tooling. These domains remain foundational to Linux systems, cloud-native platforms, CI/CD environments, and modern DevOps practices. Shell-Code-Large addresses the need for a dedicated Shell-focused dataset at substantial scale, enabling targeted research into scripting patterns, command composition, workflow orchestration, infrastructure automation, and operational engineering practices

updated a collection about 5 hours ago

datasets out there

repliedto their post about 6 hours ago

If you want small models to be great again you should give a follow to people like @Banaxi-Tech or @Datdanboi25 These guys are rocking it with small models lately. (They are not paying me to say that)

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513

If you want small models to be great again you should give a follow to people like @Banaxi-Tech or @Datdanboi25

These guys are rocking it with small models lately.

(They are not paying me to say that)

Post

146

byte-level
deep layers
diverse data
compact size
overfitting
grokking

I know the next best small model is somewhere in the intersection of these features.