What are the hardware requirements for JEV 27B VL AWQ?

JEV 27B VL AWQ requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed JEV 27B VL AWQ and how large is it?

JEV 27B VL AWQ is developed by aioutfitters, 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 JEV 27B VL AWQ?

JEV 27B VL AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

JEV 27B VL AWQ by aioutfitters — VRAM 0.9GB

Name: JEV 27B VL AWQ
Author: aioutfitters

JEV 27B VL AWQ is an open-source language model by aioutfitters. Features: 27b LLM, VRAM: 0.9GB, Quantized, LLM Explorer Score: 0.3.

Arxiv:2512.16899 4-bit Awq Base model:autotrust/jev-27b-v... Base model:quantized:autotrust... Calibrated-probabilities Compressed-tensors Conversational Endpoints compatible Gptq Image-text-to-text Jev Llm-compressor Quantized Qwen3 5 Region:us Safetensors Sharded System-one Tensorflow Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/aioutfitters/JEV-27B-VL-AWQ

JEV 27B VL AWQ Parameters and Internals

LLM Name	JEV 27B VL AWQ
Repository 🤗	https://huggingface.co/aioutfitters/JEV-27B-VL-AWQ
Base Model(s)	JEV 27B VL autotrust/JEV-27B-VL
Model Size	27b
Required VRAM	0.9 GB
Updated	2026-10-15
Maintainer	aioutfitters
Model Type	qwen3_5
Model Files	0.9 GB: 2-of-2 18.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the JEV 27B VL AWQ 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

Best Alternatives to JEV 27B VL AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B AWQ INT4	0K / 20.4 GB	2563390	103
Qwen3.6 27B AWQ	0K / 22 GB	668924	24
Qwen3.6 27B AWQ BF16 INT4	0K / 28.3 GB	419171	41
Qwen3.8 27B AWQ INT4	0K / 21 GB	21015	32
Qwen3.6 27B AWQ 4bit	0K / 18.7 GB	84327	3
...wen3.6 27B Abliterated AWQ MTP	0K / 18.4 GB	244978	12
Qwen3.5 27B AWQ	0K / 21.9 GB	370920	44
Qwen3.5 27B AWQ 4bit	0K / 20 GB	279064	42
Qwen3.8 27B AWQ 4bit	0K / 27.7 GB	11874	6
Qwen3.8 27B AWQ W4A16 ASYM	0K / 0.8 GB	12673	4

Note: green Score (e.g. "73.2") means that the model is better than aioutfitters/JEV-27B-VL-AWQ.