What are the hardware requirements for APUS OpenJev V1 35B A3B?

APUS OpenJev V1 35B A3B requires approximately 72.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed APUS OpenJev V1 35B A3B and how large is it?

APUS OpenJev V1 35B A3B is developed by apus-ailab, 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 APUS OpenJev V1 35B A3B?

APUS OpenJev V1 35B A3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

APUS OpenJev V1 35B A3B by apus-ailab — VRAM 72.3GB

Name: APUS OpenJev V1 35B A3B
Author: apus-ailab

APUS OpenJev V1 35B A3B is an open-source language model by apus-ailab. Features: 35b LLM, VRAM: 72.3GB, License: apache-2.0, LLM Explorer Score: 0.35.

Apus-openjev Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-35b-a3... Bf16 Conversational Decision-model En Endpoints compatible Image-text-to-text Mixture-of-experts Qwen3 5 moe Region:us Safetensors Sharded Structured-output Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/apus-ailab/APUS-OpenJev-v1-35B-A3B

APUS OpenJev V1 35B A3B Parameters and Internals

LLM Name	APUS OpenJev V1 35B A3B
Repository 🤗	https://huggingface.co/apus-ailab/APUS-OpenJev-v1-35B-A3B
Base Model(s)	Qwen/Qwen3.5-35B-A3B Qwen/Qwen3.5-35B-A3B
Model Size	35b
Required VRAM	72.3 GB
Updated	2026-09-24
Maintainer	apus-ailab
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 zh
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 APUS OpenJev V1 35B A3B 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 APUS OpenJev V1 35B A3B

Best Alternatives	Context / RAM	Downloads	Likes
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	126	1
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	1630944	506
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Qwen3.8 35B A3B Distill	0K / 69.9 GB	3532	49

Note: green Score (e.g. "73.2") means that the model is better than apus-ailab/APUS-OpenJev-v1-35B-A3B.