What are the hardware requirements for Webcoder 100M Html Css Js?

Webcoder 100M Html Css Js requires approximately 0.4 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Webcoder 100M Html Css Js and how large is it?

Webcoder 100M Html Css Js is developed by caikybaldo999, a model with 100m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Webcoder 100M Html Css Js?

Webcoder 100M Html Css Js is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Webcoder 100M Html Css Js by caikybaldo999 — VRAM 0.4GB, 2K context

Name: Webcoder 100M Html Css Js
Author: caikybaldo999

Webcoder 100M Html Css Js is an open-source language model by caikybaldo999. Features: 100m LLM, VRAM: 0.4GB, Context: 2K, LLM Explorer Score: 0.31.

Code Css Endpoints compatible From-scratch Html Javascript Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/caikybaldo999/webcoder-100m-html-css-js

Webcoder 100M Html Css Js Parameters and Internals

LLM Name	Webcoder 100M Html Css Js
Repository 🤗	https://huggingface.co/caikybaldo999/webcoder-100m-html-css-js
Model Size	100m
Required VRAM	0.4 GB
Updated	2026-08-13
Maintainer	caikybaldo999
Model Type	llama
Model Files	0.4 GB
Supported Languages	code
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	5.15.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	28672

Rank the Webcoder 100M Html Css Js capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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