inclusionAI/Ling-3.0-flash-VL
image-text-to-text model by inclusionAI
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From the publisher
Model card & documentation
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🤗 Hugging Face | 🤖 ModelScope We are introducing Ling-3.0-flash-VL, our next-generation native multimodal model. Built upon Ling-3.0-flash, it brings visual information into the complete process of understanding, reasoning, acting, and verification—advancing beyond image and video perception to solving real-world tasks through vision. With 124B total parameters, only 5.5B activated parameters per token, support for image and video inputs, and a context window of up to 256K tokens, Ling-3.0-flash-VL delivers powerful multimodal reasoning and agentic capabilities with exceptional efficiency. Ling-3.0-flash-VL inherits the language, reasoning, and long-context capabilities of Ling-3.0-flash, while extending them with native image and video understanding. The model has 124B total parameters, with only 5.5B parameters activated per token, and supports a context window of up to 256K tokens. The architecture of Ling-3.0-flash-VL is designed to integrate visual information into real-world reasoning and agentic workflows. Overall, these designs make vision more than just an input, integrating it…
Read the full model card ↗ · Preview checked 2026-10-30T11:34:33.586Z
Inside the original model card — Document outline
- Introduction
- Model Overview
- Evaluation
- Quickstart
- SGLang
- Install SGLang
- Run Inference
- vLLM
- Environment Preparation
- Run Inference
- Training content summary
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
inclusionAI/Ling-3.0-flash-VL is a image-text-to-text model repository published by inclusionAI 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
- image-text-to-text
- Library
- Not reported
- Recent downloads (30 days)
- 6,426
- Cumulative likes
- 96
- Hugging Face trending score
- 53
- Reported safetensors parameters
- 124,848,460,496
- Architecture
- BailingMoeV3VLForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-09-04T15:24:37.000Z
- Last modified
- 2026-09-11T00:49:28.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-17T06:34:57.398Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.