Image-Text-to-Text
PEFT
Safetensors
lora
sft
trl
tulu3
numinamath
no-robots
assistant-only-loss
conversational
Instructions to use LASR-Callum/qwen3.6-27b-lora-100k-tulu-numina-norobots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LASR-Callum/qwen3.6-27b-lora-100k-tulu-numina-norobots with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "LASR-Callum/qwen3.6-27b-lora-100k-tulu-numina-norobots") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2852d7dce35604f1746bc718ec76edb196cc542a8cfe8ba16b118f0b6bba5245
- Size of remote file:
- 638 MB
- SHA256:
- f7ec6c853ab0a92187c72f0849def6c43135b6c3e2744d1fdda28a8a513f4dc3
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