---
title: ExoMind-9B
canonical_url: "https://www.modelscope.cn/models/AI4SGI/ExoMind-9B"
md_url: "https://www.modelscope.cn/models/AI4SGI/ExoMind-9B.md"
repository: AI4SGI/ExoMind-9B
chinese_name: ExoMind-9B
last_updated: 2026-09-01
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
- image-text-to-text
model_type:
- qwen3_5
architectures:
- Qwen3_5ForConditionalGeneration
base_model:
- Qwen/Qwen3.5-9B
base_model_relation: finetune
parameters: 9.0B
tensor_type:
- BF16
library_name:
- safetensors
language:
- en
- zh
downloads: 19
stars: 1
tags:
- exomind
- scientific-reasoning
- scientific-research
- agentic
- tool-use
- multimodal
- vision-language
- qwen3.5
- safetensors
---
# ExoMind-9B
> ExoMind-9B - AI4SGI 在 ModelScope 开源的模型。ExoMind: Democratizing Scientific Intelligence via Extended-Mind-Inspired Agentic System
AI4SGI/ExoMind-9B 是 ModelScope 魔搭社区上的 9.0B 参数image-text-to-text模型，采用 apache-2.0 许可，基于 Qwen/Qwen3.5-9B 构建。
- **Repository**: AI4SGI/ExoMind-9B
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 9.0B
- **Base model**: Qwen/Qwen3.5-9B
- **Tags**: exomind, scientific-reasoning, scientific-research, agentic, tool-use, multimodal, vision-language, qwen3.5, safetensors
- **Downloads**: 19
- **Stars**: 1
- **Last updated**: 2026-09-01
Source: https://www.modelscope.cn/models/AI4SGI/ExoMind-9B
---
## 🔥 News
- **2026-08-28**: 🔥 The ExoMind preprint is now available on
[Preprints.org](https://doi.org/10.20944/preprints202608.2038.v1).
- **2026.8.25**: 🔥 We have released a series of official GGUF variants for
ExoMind and ExoMind-9B. Please refer to the [ExoMind collection](https://huggingface.co/collections/AI4SGI/exomind-6a8d093b41eedd517bbc0945). We
also thank [mradermacher](https://huggingface.co/mradermacher) for providing
additional GGUF quantizations, including both static and importance-matrix
variants: [ExoMind-i1-GGUF](https://huggingface.co/mradermacher/ExoMind-i1-GGUF),
[ExoMind-GGUF](https://huggingface.co/mradermacher/ExoMind-GGUF),
[ExoMind-9B-i1-GGUF](https://huggingface.co/mradermacher/ExoMind-9B-i1-GGUF),
and [ExoMind-9B-GGUF](https://huggingface.co/mradermacher/ExoMind-9B-GGUF).
- **2026-08-12**: We release the official project page and public repository.
## Overview
ExoMind-9B is the compact ExoMind checkpoint, fine-tuned from
[Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) for lower-resource
experimentation in scientific reasoning and agentic research. It follows the
same extended-mind-inspired approach, organizing the model, specialized
interaction objects, and autonomous interaction processes as one system.
## Highlights
- **Compact scientific checkpoint:** supports resource-conscious experiments
with the ExoMind reasoning and interaction paradigm.
- **Scientific interaction:** works with source discovery, evidence grounding,
executable verification, and observation integration workflows.
- **Progressive CoI training:** develops intrinsic reasoning and interaction
behavior from selected pure-reasoning and interaction trajectories.
- **Multimodal foundation:** retains the image-text capabilities of its Qwen3.5
base model.
## Quick Start
Use a recent vLLM or SGLang release with Qwen3.5 support. The examples below
use the checkpoint's configured maximum context length of 262,144 tokens.
### vLLM
```bash
vllm serve AI4SGI/ExoMind-9B \
--port 8000 \
--tensor-parallel-size 1 \
--max-model-len 262144 \
--reasoning-parser qwen3 \
--enable-auto-tool-choice \
--tool-call-parser qwen3_coder
```
### SGLang
```bash
python -m sglang.launch_server \
--model-path AI4SGI/ExoMind-9B \
--host 0.0.0.0 \
--port 8000 \
--tp-size 1 \
--context-length 262144 \
--reasoning-parser qwen3 \
--tool-call-parser qwen3_coder
```
### OpenAI-Compatible API
```python
from openai import OpenAI
client = OpenAI(base_url="http://localhost:8000/v1", api_key="EMPTY")
response = client.chat.completions.create(
model="AI4SGI/ExoMind-9B",
messages=[
{
"role": "user",
"content": "Develop a testable hypothesis and a rigorous verification plan for: ...",
}
],
temperature=1.0,
top_p=0.95,
extra_body={"top_k": 20},
)
print(response.choices[0].message.content)
```
## Evaluation
The table below reports the main ExoMind 35B-A3B system. ExoMind-9B is provided
as a compact checkpoint and has not been assigned these scores.
🥇 Best score among the representative models shown
| Benchmark |
⭐ Ours |
Representative frontier models |
ExoMind
35B-A3B |
Claude-Opus-4.8
Thinking |
GPT-5.5
(xhigh) |
Gemini-3.1-Pro
Preview |
Kimi-K3 |
Qwen3.7-Max |
GLM-5.2 |
DeepSeek-V4-Pro
(Max) |
| 🧪 Scientific Research |
| HLE w/ tools | 56.8 | 🥇 57.9 | 52.2 | 51.4 | 56.0 | 53.5 | 54.7 | 48.2 |
| FrontierScience-Research | 🥇 70.0 | 26.7 | 26.7 | 11.7 | 21.7 | 10.0 | 15.0 | 13.3 |
| CMT-Benchmark | 🥇 84.0 | 46.0 | 43.0 | 43.0 | 34.0 | 34.0 | 20.0 | 28.0 |
| CritPt | 25.7 | 20.9 | 🥇 27.1 | 17.7 | 23.4 | 13.4 | 20.9 | 7.1 |
| 🧠 Scientific Reasoning |
| AMO-Bench | 🥇 78.0 | 74.0 | 70.0 | 63.1 | 64.0 | 57.4 | 54.0 | 68.0 |
| IMO-AnswerBench | 🥇 92.8 | 86.8 | 83.8 | 90.0 | 82.8 | 90.0 | 91.0 | 89.8 |
| HiPhO | 🥇 49.7 | 46.4 | 43.3 | 43.4 | 42.4 | 38.8 | 37.4 | 38.7 |
| FrontierScience-Olympiad | 🥇 89.0 | 75.0 | 78.0 | 77.0 | 69.0 | 80.0 | 76.5 | 76.0 |
| Eight-benchmark average | 🥇 68.3 | 54.2 | 53.0 | 49.7 | 49.2 | 47.1 | 46.2 | 46.1 |
Complete settings and comparisons are available in the [evaluation
explorer](https://ai4sgi.github.io/ExoMind/#results).
## Intended Use
ExoMind-9B is intended for scientific question answering, mathematical and
computational reasoning, tool-use experiments, code-assisted verification, and
resource-conscious agentic prototypes.
## License and Attribution
The distributed checkpoint and upstream Qwen3.5 materials are provided under
the Apache License 2.0 included in this repository. The preprint,
scientific figures and results, and ExoMind brand assets are subject to the
[ExoMind Research Content and Brand Terms](./CONTENT_RIGHTS.md). See
[NOTICE.md](./NOTICE.md) for third-party notices.
## Citation
```bibtex
@article{Ye_2026,
title = {ExoMind: Democratizing Scientific Intelligence via Extended-Mind-Inspired Agentic System},
author = {Ye, Peng and Liu, Zhuo and Ye, Jingqi and Yu, Fangchen and Tang, Shengji and Jiang, Yichen and He, Haonan and Cao, Zongsheng and Chen, Tao and Zhang, Bo and Ouyang, Wanli and Zhou, Bowen and Bai, Lei},
year = {2026},
month = aug,
publisher = {MDPI AG},
doi = {10.20944/preprints202608.2038.v1},
url = {https://doi.org/10.20944/preprints202608.2038.v1}
}
```
# ExoMind: Democratizing Scientific Intelligence via Extended-Mind-Inspired Agentic System
**ExoMind Team · Shanghai Artificial Intelligence Laboratory**
