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
- Xet hash:
- c16c4af316e67dea3bea8958ebe19b4ef3573532aaeabc2f448ad803614fb8e5
- Size of remote file:
- 560 MB
- SHA256:
- e0e6655a16a10f28cbce898e564640bf6a4a64ca84bb2014a1da3a60c5f11eda
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