tupik/qwen3-vl-8b • LM Studio Hub
qwen3-vl-8b
Description
All models are there: https://lmstudio.ai/trending/models
Description
All models are there: https://lmstudio.ai/trending/models
qwen3-vl-8b
Description
All models are there: https://lmstudio.ai/trending/models
Description
All models are there: https://lmstudio.ai/trending/models
Qwen3 VL 8B A vision-language model in the Qwen series with comprehensive upgrades to visual perception, spatial reasoning, and video understanding.
Parameters
Key Features
Custom configuration options included with this model
The underlying model files this model uses
Qwen3 VL 8B A vision-language model in the Qwen series with comprehensive upgrades to visual perception, spatial reasoning, and video understanding.
Parameters
Key Features
Custom configuration options included with this model
The underlying model files this model uses
Visual Agent : Operates PC and mobile GUIs—recognizes elements, understands functions, and completes tasks
Visual Coding : Generates Draw.io, HTML, CSS, and JavaScript from images and videos
Advanced Spatial Perception : Provides 2D/3D grounding for spatial reasoning and embodied AI applications
Upgraded Recognition : Recognizes celebrities, anime, products, landmarks, flora, fauna, and more
Expanded OCR : Supports 32 languages with robust performance in low light, blur, and tilt conditions
Pure Text Performance : Text understanding on par with pure LLMs through seamless text-vision fusion
8.77B parameters
Interleaved-MRoPE for enhanced video reasoningDeepStack for fine-grained detail captureText-Timestamp Alignment for precise event localization
Context length: 256,000 tokens
Vision-enabled multimodal model
Delivers strong vision-language performance across diverse tasks including document analysis, visual question answering, video understanding, and agentic interactions.
{ metadataOverrides: domain: llm architectures: qwen3_vl compatibilityTypes: gguf paramsStrings: 8B minMemoryUsageBytes: 6 gb contextLengths: 256k vision: true reasoning: false trainedForToolUse: true }
Visual Agent : Operates PC and mobile GUIs—recognizes elements, understands functions, and completes tasks
Visual Coding : Generates Draw.io, HTML, CSS, and JavaScript from images and videos
Advanced Spatial Perception : Provides 2D/3D grounding for spatial reasoning and embodied AI applications
Upgraded Recognition : Recognizes celebrities, anime, products, landmarks, flora, fauna, and more
Expanded OCR : Supports 32 languages with robust performance in low light, blur, and tilt conditions
Pure Text Performance : Text understanding on par with pure LLMs through seamless text-vision fusion
8.77B parameters
Interleaved-MRoPE for enhanced video reasoningDeepStack for fine-grained detail captureText-Timestamp Alignment for precise event localization
Context length: 256,000 tokens
Vision-enabled multimodal model
Delivers strong vision-language performance across diverse tasks including document analysis, visual question answering, video understanding, and agentic interactions.
{ metadataOverrides: domain: llm architectures: qwen3_vl compatibilityTypes: gguf paramsStrings: 8B minMemoryUsageBytes: 6 gb contextLengths: 256k vision: true reasoning: false trainedForToolUse: true } 