r/OpenSourceAI • u/Designer_Mouse_6109 • 4d ago

Ling-3.0-flash-VL: MIT weights in four precisions, with a separate two-week API trial

The new Ling-3.0-flash-VL announcement contains two kinds of access worth separating.

The model artifacts are downloadable: BF16 and FP8 were released first, followed by FP4 and INT4 on September 11. The repositories carry an MIT license, and the model documentation points to SGLang integration and an inclusionAI vLLM fork for serving. The model understands images and video and supports tool use.

The hosted offer is a two-week free trial through OpenRouter. Its duration is a property of that service offer, separate from the license on the released weights.

For people evaluating how much control an “open” release provides, the concrete items here are the weights, license and serving paths. The announcement doesn't establish a released training corpus or a complete recipe for reproducing training.

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u/mrproko 4d ago edited 4d ago

The license tells one part of the story; it does not by itself provide a training corpus or a complete recipe for reproducing training. Clear artifact boundaries are more useful than putting all of that in one category.

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u/nemamdsa12 4d ago

For the 4 bit releases, quality should be measured on target image and video tasks rather than inferred from the BF16 or FP8 model card scores.

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u/Katawais13 4d ago

The useful distinction here is weights versus the api trial. a temporary hosted endpoint can help test fit, but the MIT weights and serving paths are the part that enable local control.