Qwen3 VL 30B A3B Instruct
PulseGate's liveness check found it on 3 Oct 2026; it is registered on Hugging Face and has been in the index since 23 Jul 2026. How this is checked
This repository hosts GGUF quantized versions of the Qwen3-VL-30B-A3B-Instruct model, optimized for local inference. It enables multimodal (image + text) understanding and instruction following using tools such as llama.cpp. The model is designed for developers building local AI applications that require vision capabilities.
Inferred · not functionally tested
Overview
3 featuresPurpose: Running powerful vision-language models locally on consumer hardware using quantized GGUF format.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
In the Quantised & converted weights space, Qwen3 VL 30B A3B Instruct takes a focused approach. Inferred · not functionally tested: It focuses on running powerful vision-language models locally on consumer hardware using quantized GGUF format. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: Qwen3 VL 30B A3B Instruct is available on the web, the command line, and API.
Behind Qwen3 VL 30B A3B Instruct is Unsloth, and it first shipped in 2023. Development happens publicly on GitHub with 68.8k stars and 1.2k commits in the last 90 days. It competes in a saturated segment with 25 similar projects in PulseGate's index. Inferred · not functionally tested: Key capabilities include Vision Language Model, GGUF Quantization, and Multimodal Inference.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Vision Language Model
- GGUF Quantization
- Multimodal Inference
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- bollama in the HTML · bllama in the HTML · bvllm in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed23 Jul · 08:23 UTCunsloth/Qwen3-VL-30B-A3B-Instruct-GGUF seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Qwen3 VL 30B A3B Instruct
- What does Qwen3 VL 30B A3B Instruct do?
- Inferred · not functionally tested: Qwen3 VL 30B A3B Instruct focuses on running powerful vision-language models locally on consumer hardware using quantized GGUF format. It is catalogued under Quantised & converted weights on PulseGate.
- Who is Qwen3 VL 30B A3B Instruct for?
- Inferred · not functionally tested: Qwen3 VL 30B A3B Instruct is an open-source project built for developers.
- Does Qwen3 VL 30B A3B Instruct have a free plan?
- Basis unknown · not verified: Yes — Qwen3 VL 30B A3B Instruct is open source under the Apache-2.0 license and free to use.
- What platforms does Qwen3 VL 30B A3B Instruct run on?
- Basis unknown · not verified: Qwen3 VL 30B A3B Instruct runs on the web, the command line, and API.
- Is Qwen3 VL 30B A3B Instruct still active?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 1.2k commits in the last 90 days.
- What are alternatives to Qwen3 VL 30B A3B Instruct?
- Similar projects tracked by PulseGate include Qwen3 VL 4B Instruct, Qwen3 VL 30B A3B Instruct, and Qwen3 VL 2B Instruct.Qwen3 VL 4B InstructQwen3 VL 30B A3B InstructQwen3 VL 2B Instruct
- Who makes Qwen3 VL 30B A3B Instruct?
- Qwen3 VL 30B A3B Instruct is developed by Unsloth.
- How long has Qwen3 VL 30B A3B Instruct been around?
- Qwen3 VL 30B A3B Instruct first shipped in 2023.
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