lingbot-world-fast
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
vllm serve robbyant/lingbot-world-fastNew to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
lingbot-world-fast is an open-weight video generation model from robbyant, published on Hugging Face in April 2026. It has 18.5B parameters and is released under the apache-2.0 license.
HardwareLink to this section
At full FP16 precision the weights need about 37 GB of memory; 8-bit quantization brings that to roughly 20 GB. Check the VRAM tiers above to see which GPUs fit it.
PopularityLink to this section
lingbot-world-fast had 60,632 downloads on Hugging Face in the last month and has 23 likes.
Run it locallyLink to this section
The weights are on Hugging Face and load with Hugging Face Diffusers (or ComfyUI). Follow the model card for the exact setup and license terms.
Frequently asked
Quick answers to common questions
How much VRAM does lingbot-world-fast need?
lingbot-world-fast with 18.5B parameters needs approximately 11 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is lingbot-world-fast better than other robbyant models?
lingbot-world-fast has 18.5B parameters with 8,192 context - a strong choice for video-generation, image-to-video.
What license is lingbot-world-fast under?
lingbot-world-fast is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs lingbot-world-fast well?
With 18.5B parameters, lingbot-world-fast requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for lingbot-world-fast?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~13 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with lingbot-world-fast?
lingbot-world-fast competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec