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Open-weight model · Text generation

mario-html-4B-GGUF

by Wesjos Max wesjos/mario-html-4B-GGUF

mario-html-4B-GGUF is an open-weight model for text generation from Wesjos Max, released under Apache License 2.0. Its published files total 8.1 GB.

A visual-UI language model fine-tuned from Qwen3.5-4B, quantized to GGUF for llama.cpp. It answers in a small semantic HTML component system — bento grids, metric cards, steppers, callouts — wrapped in one root, instead of plain Markdown.

Parameters—
Context—
Weights8.1 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Wesjos Max, published under apache-2.0, revision 19d7254315a1.

A visual-UI language model fine-tuned from Qwen3.5-4B, quantized to GGUF for llama.cpp. It answers in a small semantic HTML component system — bento grids, metric cards, steppers, callouts — wrapped in one root, instead of plain Markdown. Reasoning-native, and no system prompt required. One root element; everything else is an optional child: ai-view-header is not in the source repo's theme.css — it renders with default header styling. Fine, but define your own if you want tighter control. Apache License 2.0.

Read Wesjos Max's full model card

A visual-UI language model fine-tuned from Qwen3.5-4B, quantized to GGUF for llama.cpp. It answers in a small semantic HTML component system — bento grids, metric cards, steppers, callouts — wrapped in one <div class="ai-view"> root, instead of plain Markdown. Reasoning-native, and no system prompt required.

Item Value
Source repo wesjos/mario-html-4B — bf16 safetensors + bundled WebUI
Base Qwen/Qwen3.5-4B · 4.66 B (bf16)
Architecture GGUF qwen35 · 32 hybrid blocks (24 linear + 8 full attention) + 1 MTP head at blk.32 · hidden 2560
Context 262,144 native

Files

File Quant Size Tensor mix
Mario-Qwen3.5-4B-HTML-Q8_0.gguf MOSTLY_Q8_0 4.29 GiB 257 × Q8_0 + 184 × F32
Mario-Qwen3.5-4B-HTML-Q4_K_M.gguf MOSTLY_Q4_K_M 2.59 GiB 222 × Q4_K + 35 × Q6_K + 184 × F32

Quick Start

# Q4_K_M — fastest, ~2.6 GB on disk
llama-server \
  -hf wesjos/mario-html-4B-GGUF:Mario-Qwen3.5-4B-HTML-Q4_K_M.gguf \
  --host 0.0.0.0 --port 18085 \
  -ngl 99 -fa on \
  -c 65536

Recommended sampling

Parameter Value
temperature 1.0
top_p 0.95
top_k 20
min_p 0.0
presence_penalty 1.5
repeat_penalty 1.0

Output Contract

One root element; everything else is an optional child:

Component Markup
Root <div class="ai-view">
Summary <div class="summary-card"> · <p class="lead">
Card <div class="card">
Grid <div class="grid grid-2"> · <div class="grid grid-3">
Metrics <div class="metric-group"><div class="metric-card"><span class="metric-label">…</span><span class="metric-value">…</span><span class="metric-sub">…</span></div></div>
Stepper <div class="stepper"><div class="step-item">…</div></div>
Callout <div class="callout callout-info\|warning\|success\|danger"><div class="callout-header">…</div></div>
Badge <span class="badge badge-info\|success\|warning\|danger\|accent">
Table <div class="table-container"><table class="modern-table">…</table></div>
Feature list <div class="feature-list"><div class="feature-item">…</div></div>
Code block <div class="code-box"><div class="code-header"><span class="code-title">…</span></div>…</div>
Raw sample (message.content verbatim)
<div class="ai-view">
<header class="ai-view-header">
<h1>Good!</h1>
<p class="lead">Everything looks solid from here. Got anything specific you'd like to build or clarify?</p>
</header>
<div class="grid grid-2">
<div class="card">
<span class="badge badge-success">Current state</span>
<h2>The basics check out</h2>
<p>Your message landed cleanly and the conversation is open. This is a strong position to move forward on whatever topic you want to tackle next.</p>
</div>
<div class="card">
<span class="badge badge-info">What's next</span>
<h2>Set the intent</h2>
<p>Tell me what you're trying to accomplish today—whether it's a task, idea, plan, or question—and I'll help you break it down into concrete steps.</p>
</div>
</div>
<div class="metric-group">
<div class="metric-card">
<span class="metric-label">Confidence</span>
<span class="metric-value">High</span>
<span class="metric-sub">Based on your input</span>
</div>
<div class="metric-card">
<span class="metric-label">Priority</span>
<span class="metric-value">Clarify scope</span>
<span class="metric-sub">To make things faster</span>
</div>
</div>
<div class="callout callout-info">
<div class="callout-header">Want something more specific?</div>
<p>Ambiguous prompts work well sometimes, but adding a single sentence about your end goal makes my responses much tighter and more useful.</p>
</div>
</div>
`ai-view-header` is not in the source repo's `theme.css` — it renders with default header styling. Fine, but define your own if you want tighter control.

License

Apache License 2.0.

Identity and Version

Repository
wesjos/mario-html-4B-GGUF
Publisher
Wesjos Max
Task
Text generation
Modality
Text
Library
transformers
Parameters
Not stated by the source
Languages
en, zh
Revision
19d7254315a1843f7512a2a5920ee496b5817c96
First published
2026-10-13
Last updated
2026-10-13

Files and Weights

5 files, 8.1 GB in total. The weights are 3 files totalling 8.1 GB in gguf.

Weights3 files · 8.1 GB
Documentation1 file · 4.5 KB
Repository1 file · 2.1 KB
Every file
FileTypeSizeSHA-256
Mario-Qwen3.5-4B-HTML-Q4_K_M.ggufWeights2.8 GB a52f49d5fb2d
Mario-Qwen3.5-4B-HTML-Q8_0.ggufWeights4.6 GB bb7cfe5c827f
mmproj-Qwen3.5-4B-BF16.ggufWeights675.6 MB 9490d4abe87e
README.mdDocumentation4.5 KB —
.gitattributesRepository2.1 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
8.1 GB
Download from Wesjos Max

Released by Wesjos Max through its official repository on Hugging Face. Read the license.

Built From

  • Derived from wesjos/mario-html-4B
  • Quantized from wesjos/mario-html-4B

Memory Requirements

PrecisionWeights in memory
As published8.1 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About mario-html-4B-GGUF

Can I use mario-html-4B-GGUF commercially?

Yes. mario-html-4B-GGUF is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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