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inclusionAI / Ling-3.0-flash-Sante

Ling-3.0-flash-Sante: text generation, with public weights

inclusionAI has listed Ling-3.0-flash-Sante for text generation. Its official repository includes model weights and a mit license label.

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Automatic fact brief by Privaj Scout · Brief published Oct 26, 2026 · Sources checked Oct 26, 2026

WHAT IT DOES

The documented input is text and the output is text. This establishes its intended task, not its performance against other models.

Inputs
Text
Outputs
Text
License label
mit
Reported tensors
127.49B

Source facts.

  1. The official task tag identifies text generation.

  2. The repository lists downloadable weights under the mit license label.

  3. Its declared architecture is bailing_hybrid.

Official model repository and license ↗

Before you run it.

The reported tensor count is 127.49B. At 4 bits per stored parameter, weights alone would occupy about 63.74 GB in decimal units. This is a theoretical storage estimate, not measured VRAM or confirmed 4-bit support. Cache, runtime and auxiliary components need additional memory.

What the evidence shows

This fact brief was assembled automatically from the official model API. Repository creation is not a verified launch date. No independent benchmark, speed measurement, or quality ranking is implied.

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