CoolFace
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caikybaldo999/webcoder-100m-html-css-js

sourceHugging Faceupdated 1mo agoView on Hugging Face
0likes189downloads
Model Card

WebCoder-100M

A small decoder-only model specialized in HTML, CSS and JavaScript.

Architecture

  • —Parameters: 99,894,528
  • —Layers: 11
  • —Hidden size: 768
  • —Attention heads: 12
  • —Vocabulary: 28,672
  • —Max context: 2,048
  • —Training sequence length: 1,024

Training

The model was initialized from scratch.

  1. 1.Causal pre-training on HTML/CSS/JavaScript.
  2. 2.Instruction fine-tuning on web-development instruction/code pairs.

Token accounting

  • —Total processed: 582,209,140
  • —Pre-training: 568,246,272
  • —SFT processed: 13,962,868
  • —SFT supervised response tokens: 9,124,446
  • —Global cap: 2,000,000,000

Data

Pre-training: bigcode/the-stack-smol-xl, HTML/JavaScript/CSS subsets.

Instruction tuning: iamtarun/code_instructions_120k_alpaca, filtered for web-development examples.

Review upstream dataset cards and source licenses before commercial use.

Prompt format

text
<|system|>
You are WebCoder...<|end|>
<|user|>
Create a responsive landing page...<|end|>
<|assistant|>
...

Limitations

This is a roughly 100M-parameter model trained from scratch. Its quality depends strongly on how many tokens were actually processed. Generated code can contain bugs or security issues and should be reviewed.