A curated model library. Templates. Hot-swap.

Browse open-weight models, download the right quantization in one click, and switch between them per request. Save prompt templates, compare models side by side, and wire local inference into your workflow.

The local-model workflow, without the tinkering

1-click

Model Downloads

Curated registry with quantizations picked for your hardware

<2 sec

Hot-Swap Time

Swap a 7B Q4_K_M between requests with zero server restarts

Parallel

Model Comparison

Run the same prompt against multiple local models side by side

Reusable

Prompt Templates

Save, version, and share prompts across devices

Model library & workflows

Everything you need to pick models, run them, and build on them locally.

Curated Model Library

Browse Llama, Mistral, Phi-3, Gemma, Qwen, DeepSeek-R1, and Mixtral-small. Each model pre-quantized (Q4_K_M, Q5_K_M, Q8_0) with hardware fit indicators.

One-Click Downloads

Pick a model, hit Install. VirexaLLM resolves the right quant, verifies the weights, and makes it available to every app on your machine.

Hot-Swap Models

Change models per request by name, or flip the active one in the chat UI. The runtime unloads and memory-maps in seconds.

Prompt Templates

Save system prompts, chat presets, and variable slots. Reuse them across conversations, the API, or automation hooks.

Parallel Model Comparison

Send the same prompt to two or three local models at once. Diff the outputs, pick the winner, pin it as your default.

Automation Hooks

Trigger local inference from a keyboard shortcut, a shell command, or a webhook. Build agents that run entirely on the device.

Download once, run on every app

Pick Llama 3.1 8B Q4_K_M, hit Install, and the same weights power the chat UI, your IDE via continue.dev, and any script hitting http://localhost:1775/v1. No duplication, no re-downloads.

Curated local model library

From install to inference

Three moves the desktop app makes each time you pick a new model.

1

Choose

Browse the curated library. VirexaLLM marks models that fit your CPU, GPU, and RAM budget.

2

Download

Signed GGUF weights pulled from the registry, verified against a hash, and cached on disk forever.

3

Run

Chat in the desktop UI or call the local API — the model is memory-mapped and ready in seconds.

Workflows teams turn on day one

Every one of these runs entirely on the laptop — no cloud account required.

Coding with Cursor or continue.dev

Point your IDE at the local server and keep writing code with a 7B model when you're offline or behind a customer firewall.

Confidential Summaries

Drop a PDF into the chat UI and summarize it with Phi-3-mini without the file ever touching the internet.

Model Bake-Offs

Run Llama 3.1 8B vs Qwen 2.5 7B vs Mistral 7B on your eval set. Pick the local winner for your use case.

Offline Agent Loops

Chain tool calls locally with DeepSeek-R1 or Llama 3.1 — useful for field devices and air-gapped research.

Tiny-Model Classification

Run TinyLlama or Phi-3-mini on CPU for cheap, fast intent detection and routing — no GPU required.

Prompt Template Library

Ship a shared template pack across your team's laptops so everyone uses the same system prompts.

Compare two local models in one click

Split the chat window and send the same prompt to Llama 3.1 8B and Qwen 2.5 7B. Watch tokens stream side by side. Pick the winner for your task and pin it as the default in your template.

Automation that runs on your machine

Wire local inference into the tools you already use — without standing up a server.

Keyboard Shortcuts

Bind a prompt template to a hotkey. Summarize, translate, or rephrase from any app — all offline.

Shell & Scripts

curl localhost:1775/v1 or use the OpenAI SDK from Python, Node, Go — local agents that never phone home.

Local Webhooks

Fire prompts on file changes, clipboard events, or custom triggers. Your laptop is the backend.

Frequently asked questions

How do I pick the right quantization?
VirexaLLM recommends a quant based on your RAM and CPU/GPU. Q4_K_M is the sweet spot on most laptops; Q5_K_M or Q8_0 if you have the memory.
Can I hot-swap models mid-session?
Yes. Change the model field in an API call or click a new model in the chat UI. The previous weights are unloaded and the new ones are memory-mapped in.
Where are models stored?
On your local disk, under a models directory you control. Move, backup, or hand-deliver the files to another machine at any time.
Can I bring my own GGUF?
Yes. Drop any GGUF into the models folder and VirexaLLM picks it up — optionally restricted by the signed policy bundle on managed fleets.
Can I automate local inference?
Yes. Call the local API from scripts, trigger prompts with keyboard shortcuts, or use webhook actions to kick off agents without cloud dependencies.

Your laptop is the server now

Download VirexaLLM and run Llama, Mistral, Phi-3, Gemma, or Qwen locally in minutes. Free desktop app for macOS, Windows, and Linux — your prompts never leave the device.