Ultra-small, single-purpose code-generation models — as light as 17.4 MB.
Trained from scratch by AI LocalQmod, LLC for
JavaScript-ecosystem code generation. Roughly 1/200th the size of a
general-purpose coding model (~4.4 GB), so they download in seconds, load
instantly, and barely touch your memory.
Plain llama.cpp GGUF files — usable with any GGUF-compatible runtime.
Each model is purpose-built for one job: generating a single small function in
its target language — a loop, an array operation, a React component, a Node.js
file handler. A from-scratch tokenizer tuned to that language's syntax is what
keeps them this small and this fast.
They are components, not assistants — sized for one function at a time, and
fast enough that a laptop CPU returns one in milliseconds. Planning, assembly and
verification belong to the tool that calls them, which is exactly what
AI-App Builder does.
How to prompt them — read this first
These models use one fixed prompt template. Follow it exactly and they do
what they were built to do. This is the one thing to get right.
しつもん: <request, in Japanese>
こたえ: ```js
The prompt must end with the opening code fence. Stop generation at the closing
fence. Requests are in Japanese — the training corpus is Japanese instruction
→ JS-family code. English prompts do not work.
Each of these was run at temperature=0.0 and produced correct, valid code.
Note that react-slm also uses the ```js fence, not ```jsx.
Model
Fence
Example prompt
Produces
js-loops-slm
```js
配列の合計を求める関数
correct for loop summing an array
js-loops-slm
```js
配列の最大値を返す関数
correct max loop starting at i = 1
js-loops-slm
```js
偶数だけ数える関数
correct % 2 === 0 counter
react-slm
```js
ボタンのコンポーネント
a useState button component
node-slm
```js
ディレクトリを作る
mkdir from fs/promises, recursive
jsts-slm
```ts
インターフェースを定義する
a TypeScript interface
Which model to use
Model
Built for
js-loops-slm
for loops and array traversal — sums, min/max, counting
react-slm
React function components with hooks
node-slm
Node.js file-system and server code
jsts-slm
TypeScript type and interface definitions
Each one is trained on its own narrow corpus with its own tokenizer. Pick the
model that matches the job.
Coming end of September 2026: a general JavaScript model. Until it lands,
js-loops-slm is the one to use for plain JavaScript.
With AI-App Builder (one click)
AI-App Builder is our macOS app.
It runs a planner model that breaks a request into parts, sends each part to the
SLM above, verifies the returned code structurally, and assembles a working app.
Open the ⬇️ Model DL tab — these four models are listed at the top. Click one
and the download fields fill in automatically. Everything runs on your own Mac;
nothing you write is sent to our servers.
A prompt is a poor way to brief an AI on anything larger than a snippet. A written
spec works far better — but writing one, keeping it current, and maintaining a
second copy formatted for the AI is exactly the work nobody wants to do.
AI Era Design Docs is a macOS app that
builds the spec from a form. Pick a block, fill it in, and watch the finished
document render beside you as you type. Then export the same content three ways:
Export
For
HTML
People. One self-contained file, diagrams included — opens anywhere, no network needed
Markdown
Your AI. Diagrams come out as mermaid code blocks, so nodes and connections stay machine-readable
PDF
Reading and printing
The part that matters: it reads its own output back in. Re-import the exported
HTML or the Markdown and carry on editing from where you left off. Most tools
only ever export — when the spec changes, you start again from an empty form.
Diagrams need no mermaid syntax: add nodes, pick colours, connect them with
arrows. Tables, callouts, ordered lists and file headers are all fields — there
is nothing to memorise. Everything runs on your own Mac; nothing you type leaves it.
US$2.99/month, first 7 days free.
Why we give these away
The models are MIT-licensed and free because they are only half the answer.
A 17 MB model that writes one correct function is genuinely useful, but turning
that into a working application takes orchestration, verification, and
repair.
AI-App Builder delivers all three.
If these models are useful to you on their own, take them. If you want the
rest, it is AI-App Builder.
About AI LocalQmod, LLC
AI LocalQmod, LLC builds local-first,
privacy-respecting AI tools. Everything we ship runs on your own machine.
