Text Generation
PEFT
Safetensors
English
lora
mistral
structured-output
model-routing
inference-orchestration
multi-agent
dot-loom
Instructions to use usedot/Dot-Loom-Conductor-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use usedot/Dot-Loom-Conductor-14B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-3-14B-Base-2512") model = PeftModel.from_pretrained(base_model, "usedot/Dot-Loom-Conductor-14B") - Notebooks
- Google Colab
- Kaggle
| cff-version: 1.2.0 | |
| message: If you use Dot Loom Conductor 14B, please cite this release. | |
| title: "Dot Loom Conductor 14B: Learned Budget-Constrained Multi-Model Routing" | |
| type: software | |
| authors: | |
| - name: Dot R&D | |
| repository-code: https://github.com/usedotai/dot-loom | |
| url: https://huggingface.co/usedot/Dot-Loom-Conductor-14B | |
| license: Apache-2.0 | |
| version: 1.0.0 | |
| date-released: 2026-07-17 | |