Model reference · open weights

Qwen3-VL-Unredacted-MAX-Quants

Qwen3-VL-Unredacted-MAX-Quants is an open-weight language model from KuroTo4ka, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

LLMs KuroTo4ka 1 variants 1k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What Qwen3-VL-Unredacted-MAX-Quants is

Qwen3-VL-8B-Instruct-Unredacted-MAX-Quants-GGUF This repository contains high-quality GGUF quantizations for the prithivMLmods/Qwen3-VL-8B-Instruct-Unredacted-MAX model. Highlights - Unredacted & MAX: Maximum performance version without restrictive filters. - Full Vision Support: Includes multiple versions of the vision projector (mmproj) for different hardware needs. - Optimized: Compatible with the latest llama.cpp and other GGUF-supported backends. Files Included 1. Model Weights (LLM) 2. Vision Projectors (mmproj) Required for image recognition tasks. Usage To use vision capabilities in llama.cpp, use the following command:

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

MakerKuroTo4ka
TypeLanguage models
Variants1
Runs withgguf
Based onprithivMLmods/Qwen3-VL-8B-Instruct-Unredacted-MAX
Released2026-04-10
Popularity1k downloads / month
Likes8
LicenceOpen weights

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
Qwen3-VL-8B-Instruct-Unredacted-MAX-Quants-GGUFGGUFWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys qwen3-vl-unredacted-max-quants for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (qwen3-vl-unredacted-max-quants below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen3-vl-unredacted-max-quants","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Languages

en ru zh

Tags

gguf vision multimodal qwen qwen-3 unredacted image-to-text text-generation conversational roleplay assistant vl vlm en

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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