What are the hardware requirements for ExoMind?

ExoMind requires approximately 69.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ExoMind and how large is it?

ExoMind is developed by AI4SGI, 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 ExoMind?

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

ExoMind by AI4SGI — VRAM 69.1GB

Name: ExoMind
Author: AI4SGI

ExoMind is an open-source language model by AI4SGI. Features: 35b LLM, VRAM: 69.1GB, License: apache-2.0, LLM Explorer Score: 0.24.

Agentic Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-35b-a3... Conversational En Endpoints compatible Exomind Image-text-to-text Multimodal Qwen3.5 Qwen3 5 moe Region:us Safetensors Scientific-reasoning Scientific-research Sharded Tensorflow Tool-use Vision Vision-language Zh

Model Card on HF 🤗: https://huggingface.co/AI4SGI/ExoMind

ExoMind Parameters and Internals

LLM Name	ExoMind
Repository 🤗	https://huggingface.co/AI4SGI/ExoMind
Base Model(s)	Qwen/Qwen3.5-35B-A3B Qwen/Qwen3.5-35B-A3B
Model Size	35b
Required VRAM	69.1 GB
Updated	2026-10-23
Maintainer	AI4SGI
Model Type	qwen3_5_moe
Model Files	4.3 GB: 0-of-14 5.0 GB: 1-of-14 5.0 GB: 2-of-14 5.1 GB: 3-of-14 5.0 GB: 4-of-14 5.0 GB: 5-of-14 5.1 GB: 6-of-14 5.0 GB: 7-of-14 5.0 GB: 8-of-14 5.1 GB: 9-of-14 5.0 GB: 10-of-14 5.0 GB: 11-of-14 5.0 GB: 12-of-14 4.5 GB: 13-of-14 2.6 GB
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 ExoMind 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 ExoMind

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
JEV 35B	0K / 72.3 GB	713162	403
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1426253	519
Apex 35B V1.0	0K / 72.2 GB	440	36

Note: green Score (e.g. "73.2") means that the model is better than AI4SGI/ExoMind.