MODELS

inclusionAI: Ling 3.0 Flash Fin

by InclusionAI

modellead-sourceopenrouter-modelsfinancemixture-of-expertsreasoningBF16Hugging FaceMIT licensesource:openrouter.aiMITOpenRouter

Visit Website Documentation GitHub

Overview

A finance-enhanced Ling-3.0-flash model from InclusionAI, released with BF16 weights under the MIT license.

Details

Ling-3.0-flash-Fin is Ant Ling’s finance-enhanced model built from Ling-3.0-flash. The official Hugging Face model card publishes BF16 weights under the MIT license. Its Ling-3.0-flash base model is documented as a hybrid reasoning mixture-of-experts architecture with 124B total parameters and 5.1B active parameters. OpenRouter also offers a free variant with a listed 262,144-token context window and function-calling support.

When to Use

Use for finance-oriented language and reasoning workloads. Use when you need downloadable BF16 model weights under the MIT license. Evaluate it against the general Ling-3.0-flash model when finance specialization may affect task performance.

Getting Started

Open the official Ling-3.0-flash-Fin model card on Hugging Face.
Review the Ling-3.0-flash base-model card for architecture and inference guidance.
Use the documented SGLang or vLLM quickstarts for the base model.
Evaluate outputs on representative finance inputs before production use.

Key Features

•Finance-enhanced variant of Ling-3.0-flash
•BF16 weights
•MIT license
•Built from a hybrid reasoning mixture-of-experts base model
•Base model: 124B total parameters and 5.1B active parameters
•Base-model inference quickstarts for SGLang and vLLM
•Free OpenRouter variant with listed function-calling support

Capabilities

•Finance-focused language modeling
•Reasoning
•Mixture-of-experts inference
•Function calling through the listed OpenRouter variant

Last updated Sep 7, 2026