What are the hardware requirements for JEV 35B?

JEV 35B requires approximately 72.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed JEV 35B and how large is it?

JEV 35B is developed by autotrust, a model with 35b 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 35B?

JEV 35B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

JEV 35B by autotrust — VRAM 72.3GB

Name: JEV 35B
Author: autotrust

JEV 35B is an open-source language model by autotrust. Features: 35b LLM, VRAM: 72.3GB, License: apache-2.0, LLM Explorer Score: 0.55.

Arxiv:2609.14973 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-35b-a3... Calibrated-probabilities Choice Decision-model En Endpoints compatible Eval-results Image-text-to-text Jev Mixture-of-experts Model-index Noul Qwen3 5 moe Region:us Safetensors Score Sharded System-one Tensorflow Typed-decisions Vllm

Model Card on HF 🤗: https://huggingface.co/autotrust/JEV-35B

JEV 35B Parameters and Internals

LLM Name	JEV 35B
Repository 🤗	https://huggingface.co/autotrust/JEV-35B
Base Model(s)	Qwen/Qwen3.5-35B-A3B Qwen/Qwen3.5-35B-A3B
Model Size	35b
Required VRAM	72.3 GB
Updated	2026-10-22
Maintainer	autotrust
Model Type	qwen3_5_moe
Model Files	5.4 GB: 1-of-14 5.4 GB: 2-of-14 5.4 GB: 3-of-14 5.4 GB: 4-of-14 5.4 GB: 5-of-14 5.4 GB: 6-of-14 5.4 GB: 7-of-14 5.4 GB: 8-of-14 5.3 GB: 9-of-14 5.4 GB: 10-of-14 5.4 GB: 11-of-14 5.4 GB: 12-of-14 5.4 GB: 13-of-14 2.2 GB: 14-of-14
Supported Languages	en
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the JEV 35B 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

Quantized Models of the JEV 35B

Model	Likes	Downloads	VRAM
JEV 35B AWQ INT4 W4A8	1	27	0 GB

Best Alternatives to JEV 35B

Best Alternatives	Context / RAM	Downloads	Likes
....5 35B A3B Sceptic V3 1M W4A16	1024K / 26.1 GB	223	0
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	58	0
Qwen3.6 35B A3B NPU2	256K / GB	82	0
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1332815	517
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665

Note: green Score (e.g. "73.2") means that the model is better than autotrust/JEV-35B.