RA
Rhymes AI
Video model · United States ·Oct 2024

Allegro

Video Open (Restricted)
3B
Parameters

About Allegro

Allegro is an AI model developed by Rhymes AI, in the video category, released in 2024, made available as an open-weights model with 3B params.

On this page you'll find Allegro's full specifications. Review provider pricing and benchmark scores below, or compare Allegro head-to-head with other video models.

→ More models by Rhymes AI → All video models → AI benchmarks leaderboard

Links

Announcement ↗

Run Allegro locally — what fits

GPUs with enough VRAM to hold Allegro at FP16 (lower precision needs less), from best value to most headroom. Generation speed depends on your tool, resolution and step count, so we don't estimate it.

Good
Intel Arc B580 12GB
Consumer GPU · ~$249
12 GB VRAM
fits at FP16 · ~3.6 GB headroom
See fit detail →
Better
AMD Ryzen AI Max+ 395
Consumer GPU · ~$1,999
128 GB VRAM
fits at FP16 · ~107.8 GB headroom
See fit detail →
Best
Apple M2 Ultra 192GB
Apple · ~$6,600
192 GB VRAM
fits at FP16 · ~165.4 GB headroom
See fit detail →

VRAM fit only — we don't estimate generation speed for image/video/audio models (it depends on the tool, resolution and steps).

Consumer GPU
28 options that fit
→
Apple
17 options that fit
→
Datacenter GPU
13 options that fit
→

Community

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Frequently asked questions

What is Allegro? ▶

Allegro is an AI model developed by Rhymes AI, in the video category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Allegro? ▶

Allegro was developed by Rhymes AI and released in 2024.

Is Allegro open source or proprietary? ▶

Allegro ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does Allegro cost? ▶

Pricing for Allegro depends on the provider. See the providers table on this page for the latest API rates.

How does Allegro perform on benchmarks? ▶

Benchmark scores for Allegro are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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