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100% Open Source  .  Apache-2.0

Fivo Fuse

The auto-tuner that makes impossible models possible.

Tune local and self-hosted model runs for better speed, lower memory usage, and fewer manual setup steps. All automatically in 10 seconds.

$fuse tune your-model
Explore Features View on GitHub
Auto
Tuning
Many
Model Presets
2-3x
Faster Generation
70%
Memory Saved
Simple
Setup

Without Fuse vs With Fuse

Stop guessing. Start running optimized models in 30 seconds.

The Old Way

1. Compare hardware limits
2. Guess the right settings
3. Try a run and hit memory issues
4. Retry with different options
5. Repeat until stable
6. Hours later: maybe works

With Fuse

$ fuse tune your-model --target balanced
OK Hardware profile checked
OK Memory-friendly settings selected
OK Speed profile applied
OK Ready to run
Optimized setup in 10 seconds

What You Actually Get

Real, user-visible benefits. No setup pain. No tweaking. Just results.

Run Bigger Models

Run larger and more capable models on the same GPU you already own.

No new hardware needed

Less Memory Used

Fit your workloads comfortably without out-of-memory errors slowing you down.

Up to 70% memory saved

Faster Responses

Your model replies up to 2-3x faster without changing the model or the prompt.

Up to 2-3x faster

Reusable Setups

Save your setup once. Share it with your team. Get the same result every time.

One-time setup

Vision Support

Run image-understanding models smoothly without manual tweaking.

Smoother vision runs

Image Generation

Make image creation workflows feel faster and more responsive.

Snappier generation

Reliable Outputs

Consistent results you can build apps and workflows on top of.

Predictable behavior

Pick Your Goal

Choose speed, memory savings, or balance - Fuse handles the rest.

Goal-based presets

Real Benefits

What you actually get when you run your models through Fuse.

Run Bigger Models

Fit larger models on the GPU you already own without buying new hardware.

Faster Replies

Get responses up to 2-3x faster without changing the model or the prompt.

Vision Support

Run image-understanding workloads smoothly on the same machine.

Image Workflows

Repeated image generation runs feel snappier and use less memory.

Works With Your Tools

Fuse does not replace your existing setup. It generates better configs for the tools you already use.

LLM Runners
Inference Servers
Serving Frameworks
GPU Tools
Diffusion Tools

Simple Workflow

One command to tune. One command to run. No documentation deep-dive required.

Step 1 - Tune
$ fuse tune your-model

OK Ready to run.
OK Faster responses enabled.
OK Lower memory usage applied.
Step 2 - Run
$ fuse run your-model

Your model is now running faster and lighter.

Honest Limitations

Fuse automates best practices. It does not invent new physics.

What Fuse Can't Do

Make a fundamentally slow model 10x faster, fit a model if the GPU is truly too small, or replace engine expertise for debugging.

What Fuse Can Do

Apply automatic optimizations, fit almost-too-big models, get real speedup, save memory, and generate reproducible configs.

When Fuse Makes the Most Difference

Common scenarios where Fuse delivers the biggest time and cost savings.

Large Model Deployment

Running 70B+ models on consumer hardware. Fuse makes it possible and smooth.

Production Inference

Running inference servers 24/7. Every millisecond and megabyte of memory saved adds up.

Vision & Multimodal

Running VLMs and image understanding. Memory pressure is real; Fuse handles it.

Batch Processing

Processing thousands of requests. Optimizations compound across large workloads.

Multi-GPU Setups

Distributed inference. Fuse helps coordinate and optimize across GPUs.

Complex Workflows

Chaining multiple models or passes. Each step is smoother and faster.

Frequently Asked Questions

Common questions about Fivo Fuse.

Does Fuse replace my existing tools?

No. Fuse configures them with better settings. You still run the original tools you already use.

Are the speedups real?

Yes. You get noticeably faster responses and lower memory usage on the same hardware, with no manual work.

Do I need a GPU?

You need inference hardware to actually run a model. Fuse helps you get more out of whatever GPU you already have.

Does Fuse work with smaller models too?

Yes. It helps small, medium, and large models. The bigger the model, the bigger the benefit you usually feel.

Is this only for beginners?

No. Beginners skip hours of docs. Experts save time and get reproducible team configs.

100% Open Source

Make impossible models possible.

Fuse applies automatic optimizations for speed, memory, and setup simplicity. Clone, install, tune - in seconds.

View on GitHub Read the Docs