off-grid-ai/Video-Companions-GGUF
text-to-video model by off-grid-ai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Text encoders and a VAE for the Off Grid video GGUF generators with stable-diffusion.cpp. These files do not generate video by themselves. Use them with one generator from the repositories below. Sizes use decimal GB. Wan 2.2 also needs wan2.2vae.safetensors, which stays in Wan2.2-TI2V-5B-GGUF because no other model uses it. All files are unchanged copies of the source files. Checksums are in SHA256SUMS. The Hugging Face GGUF panel shows one GGUF file per repository. Here it describes one of the two text encoders. Neither file is a video generator. These files were in the generator repositories before 2026-10-21. Links pinned to an earlier commit of those repositories still work. Download the files that your generator needs into…
Read the full model card ↗ · Preview checked 2026-11-05T07:04:23.574Z
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Model overview
off-grid-ai/Video-Companions-GGUF is a text-to-video model repository published by off-grid-ai on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-video
- Library
- Not reported
- Recent downloads (30 days)
- 6,827
- Cumulative likes
- 4
- Hugging Face trending score
- 2
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T04:08:59.000Z
- Last modified
- 2026-10-21T04:09:04.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/umt5-xxl, Qwen/Qwen3-VL-4B-Instruct
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-05T06:54:25.261Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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QuantStack/Wan2.2-TI2V-5B-GGUF