Qwen/Qwen3-VL-8B-Instruct-GGUF
image-text-to-text model by Qwen
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This repository provides GGUF-format weights for Qwen3-VL-8B-Instruct, split into two components: These files are compatible with llama.cpp, Ollama, and other GGUF-based tools, supporting inference on CPU, NVIDIA GPU (CUDA), Apple Silicon (Metal), Intel GPUs (SYCL), and more. You can mix precision levels for the language and vision components based on your hardware and performance needs, and even perform custom quantization starting from the FP16 weights. Enjoy running this multimodal model on your personal device! 🚀 Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date. This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual perception & reasoning, extended context length, enhanced spatial and video dynamics comprehension, and stronger agent interaction capabilities. Available in Dense and MoE architectures that scale from edge to cloud, with Instruct and reasoning‑enhanced Thinking editions for flexible, on‑demand deployment. Multimodal performance Pure text performance To use…
Read the full model card ↗ · Preview checked 2026-10-31T14:23:20.691Z
Inside the original model card — Document outline
- Qwen3-VL-8B-Instruct-GGUF
- Introduction:
- Key Enhancements:
- Model Architecture Updates:
- Model Performance
- How to Use
- CLI Inference (llama-mtmd-cli)
- Web Chat (using llama-server)
- Quantize Your Custom Model
- Generation Hyperparameters
- VL
- Text
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Qwen/Qwen3-VL-8B-Instruct-GGUF is a image-text-to-text model repository published by Qwen on Hugging Face. The source reports the transformers library.
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
- transformers
- Recent downloads (30 days)
- 1,373,118
- Cumulative likes
- 199
- Hugging Face trending score
- 5
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-10-31T02:50:31.000Z
- Last modified
- 2025-11-01T03:21:00.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3-VL-8B-Instruct
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.