joeygambino/LTX-2.5-Quantized

Model overview

joeygambino/LTX-2.5-Quantized is a text-to-video model repository published by joeygambino 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)

9,168

Cumulative likes

11

Hugging Face trending score

2

Reported safetensors parameters

Not reported

Architecture

Not reported

License

other

Access

Not gated by Hugging Face

Created

2026-08-13T10:55:56.000Z

Last modified

2026-08-21T16:02:35.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Lightricks/LTX-2.5

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.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-15T06:34:04.920Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source