What are the hardware requirements for AutoTrust Decider Pro Vision 27B?

AutoTrust Decider Pro Vision 27B requires approximately 55.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AutoTrust Decider Pro Vision 27B and how large is it?

AutoTrust Decider Pro Vision 27B is developed by autotrust, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate AutoTrust Decider Pro Vision 27B?

AutoTrust Decider Pro Vision 27B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AutoTrust Decider Pro Vision 27B by autotrust — VRAM 55.6GB

Name: AutoTrust Decider Pro Vision 27B
Author: autotrust

AutoTrust Decider Pro Vision 27B is an open-source language model by autotrust. Features: 27b LLM, VRAM: 55.6GB, License: apache-2.0, LLM Explorer Score: 0.64.

Arxiv:2512.16899 Arxiv:2609.14973 Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.8-27b Calibrated-probabilities Conversational Dataset:sargedev/jev-distill-c... Decision-index Decision-model En Endpoints compatible Eval-results Image-text-to-text Jev Lora Multimodal Qwen3 5 Recommendation Region:us Safetensors Sharded System-one System-two Tensorflow Typed-decisions Vision Vllm Zero-shot

Model Card on HF 🤗: https://huggingface.co/autotrust/AutoTrust-Decider-Pro-Vision-27B

AutoTrust Decider Pro Vision 27B Parameters and Internals

LLM Name	AutoTrust Decider Pro Vision 27B
Repository 🤗	https://huggingface.co/autotrust/AutoTrust-Decider-Pro-Vision-27B
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-11-12
Maintainer	autotrust
Model Type	qwen3_5
Model Files	4.0 GB: 1-of-18 3.0 GB: 2-of-18 2.5 GB: 3-of-18 4.0 GB: 4-of-18 2.1 GB: 5-of-18 4.0 GB: 6-of-18 2.1 GB: 7-of-18 4.0 GB: 8-of-18 2.1 GB: 9-of-18 4.0 GB: 10-of-18 2.1 GB: 11-of-18 4.0 GB: 12-of-18 2.1 GB: 13-of-18 4.0 GB: 14-of-18 2.1 GB: 15-of-18 4.0 GB: 16-of-18 2.1 GB: 17-of-18 3.4 GB: 18-of-18
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the AutoTrust Decider Pro Vision 27B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
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... 27B 6.3bpw RCO SAR Marlin MTP	256K / 22 GB	84	1
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
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Arete 27B	0K / 54.7 GB	2407	346
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Qwen3.8 27B	0K / 55.6 GB	2	8753
...pt Rewriter Qwen3.8 27B Ref2VA	0K / 54.7 GB	58237	93