Instructions to use Xkev/deepresearch_single with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xkev/deepresearch_single with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Xkev/deepresearch_single") model = AutoModelForMultimodalLM.from_pretrained("Xkev/deepresearch_single", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Xkev/deepresearch_single: direct link, hf CLI and curl.
- Browser
- Download file 1.05 kB
-
https://huggingface.co/Xkev/deepresearch_single/resolve/main/README.md
- Command line
-
hf download hf://Xkev/deepresearch_single/README.md
-
curl -L -o README.md https://huggingface.co/Xkev/deepresearch_single/resolve/main/README.md
1.05 kB
| license: apache-2.0 | |
| base_model: | |
| - google/gemma-4-E2B-it | |
| language: | |
| - en | |
| pipeline_tag: any-to-any | |
| library_name: transformers | |
| tags: | |
| - deep-research | |
| - gemma4 | |
| # gemma-4-E2B-it — Deep Research Single-Agent RL | |
| Paper: [Learning Self-Orchestration in Decentralized Agent Swarms](https://arxiv.org/abs/2610.22322) | |
| Code: [https://github.com/Embodied-Minds-Lab/MPT](https://github.com/Embodied-Minds-Lab/MPT) | |
| For the three-agent counterpart, see [`Xkev/deepresearch_society`](https://huggingface.co/Xkev/deepresearch_society). | |
| ## Training | |
| - **Initialization**: single-agent SFT cold start of [`google/gemma-4-E2B-it`](https://huggingface.co/google/gemma-4-E2B-it) | |
| - **Dataset**: OpenResearcher deep-research tasks | |
| - **Framework**: [verl](https://github.com/volcengine/verl) | |
| - **Algorithm**: monolithic REINFORCE | |
| - **Hyperparameters**: `lr=1e-6`, `lr_warmup_ratio=0`, constant schedule | |
| ## Intended use | |
| Research on multi-agent post-training and deep research agents. Not intended for general dialog or production. | |
| ## License | |
| Apache-2.0. | |