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CortexLM
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Model Details
Model Provider
CortexLM
Model Tree
Qwen/Qwen3.8-27B
Input Modalities
Output Modalities
Supported Functionality
This work exists because the Qwen team open-sourced Qwen3.8-27B under Apache 2.0.
Thank you to the Qwen Team and Alibaba Cloud for the architecture, the training, the weights, and the docs. Cortex-Mini-1-Preview inherits their model; our contribution is post-training on top. If you use this checkpoint, please also cite Qwen3.8 (see Citation).
| Base | Qwen/Qwen3.8-27B |
| Relation | Post-training / continued training (finetune) |
| Type | Native vision-language causal LM (text, image, video) |
| Parameters | 27B dense |
| License | Apache License 2.0 (same as the base) |
| Org | CortexLM |
Qwen3.8-27B already accepts image and video input. Cortex-Mini-1-Preview does not bolt on a separate vision encoder. Miners and researchers post-train this 27B checkpoint itself.
The base model is licensed under Apache License 2.0, Copyright 2026 Alibaba Cloud. That license allows commercial use, modification, and redistribution, including this fork.
This repository redistributes Qwen3.8-27B weights and configuration as a derivative work:
LICENSE).NOTICE).You must keep the license, attribution, and NOTICE if you redistribute further. "Qwen" remains a trademark of the original authors; this project does not claim that mark.
Full terms: Apache License 2.0 and the LICENSE file in this repo.
These architectural facts come from the Qwen3.8-27B model card. Cortex post-training does not change the network shape.
For serving details, sampling defaults, thinking mode, and YaRN flags, follow the Qwen card. Those recipes still apply.
Out of scope
Load the repo id once weights are in place:
python
from transformers import AutoModelForImageTextToText, AutoProcessormodel_id = "CortexLM/Cortex-Mini-1-Preview"processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)model = AutoModelForImageTextToText.from_pretrained(model_id,torch_dtype="auto",device_map="auto",trust_remote_code=True,)
For production serving, use vLLM, SGLang, or TokenSpeed with the local directory of the downloaded weights, not a guessed path. See Qwen's vLLM recipe and SGLang cookbook.
Thinking mode is on by default in the Qwen3.8 stack (enable_thinking, preserve_thinking, reasoning_effort). Keep those defaults unless you know you want instruct/non-thinking sampling.
Preview: we do not publish a public leaderboard on this card yet. Cortex scores live training on a private holdout. Public splits are informational. General-capability checks run off the visible reward so they are not an overfitting target.
When a numbered release ships, this section will get frozen metrics and the eval recipe.
Qwen/Qwen3.8-27B before you swap it in.| File | Source |
|---|---|
Weights, tokenizer, config.json, processor configs | Forked from Qwen/Qwen3.8-27B |
LICENSE | Apache 2.0 from the base (Copyright 2026 Alibaba Cloud) |
README.md, banner.jpg, NOTICE | CortexLM |
If you use Cortex-Mini-1-Preview, please cite both this work and Qwen3.8:
bibtex
@misc{cortex-mini-1-preview,title = {Cortex-Mini-1-Preview},author = {CortexLM},year = {2026},url = {https://huggingface.co/CortexLM/Cortex-Mini-1-Preview}}@misc{qwen38,title = {{Qwen3.8-Max}: A New Bar for Coding and Cowork},url = {https://qwen.ai/blog?id=qwen3.8},author = {{Qwen Team}},month = {August},year = {2026}}