Qwen3 VL 8B

A vision-language model in the Qwen series with comprehensive upgrades to visual perception, spatial reasoning, and video understanding.

Parameters

{ metadataOverrides:
  domain: llm
  architectures: qwen3_vl
  compatibilityTypes: gguf
  paramsStrings: 8B
  minMemoryUsageBytes: 6 gb
  contextLengths: 256k
  vision: true
  reasoning: false
  trainedForToolUse: true }

Key Features

• 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

Architecture Highlights

• 8.77B parameters
• Interleaved-MRoPE for enhanced video reasoning
• DeepStack for fine-grained detail capture
• Text-Timestamp Alignment for precise event localization
• Context length: 256,000 tokens
• Vision-enabled multimodal model

Performance

Delivers strong vision-language performance across diverse tasks including document analysis, visual question answering, video understanding, and agentic interactions.

Clone purpose is testing

lms push in the directory containing model.yaml (https://lmstudio.ai/docs/app/modelyaml/publish)