QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ

text-generation model by QuantTrio

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Base Model: Qwen/Qwen3-VL-30B-A3B-Instruct As of 2025-10-08, create a fresh Python environment and run: For more details, refer to vLLM Official Qwen3-VL Guide 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. This is the weight repository for Qwen3-VL-30B-A3B-Instruct. Multimodal performance Pure text performance…

QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T11:53:29.916Z

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  1. Qwen3-VL-30B-A3B-Instruct-AWQ
  2. 【Dependencies / Installation】
  3. 【vLLM Startup Command】
  4. 【Logs】
  5. 【Model Files】
  6. 【Model Download】
  7. 【Overview】
  8. Qwen3-VL-30B-A3B-Instruct
  9. Key Enhancements:
  10. Model Architecture Updates:
  11. Model Performance
  12. Quickstart

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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

QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ is a text-generation model repository published by QuantTrio 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
text-generation
Library
transformers
Recent downloads (30 days)
845,156
Cumulative likes
45
Hugging Face trending score
0
Reported safetensors parameters
31,070,754,032
Architecture
Qwen3VLMoeForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2025-10-04T05:17:19.000Z
Last modified
2025-10-08T14:25:49.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3-VL-30B-A3B-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.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-01T06:39:22.335Z. Daily imports are snapshots, not real-time monitoring.

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