Image-Text-to-Text
PEFT
Safetensors
lora
sft
trl
empty-think
assistant-only-loss
continued-training
conversational
Instructions to use LASR-Callum/qwen3.6-27b-lora-500k-numina-heavy-empty-think-ep2 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-500k-numina-heavy-empty-think-ep2 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-500k-numina-heavy-empty-think-ep2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bed8869dd16012a115110ad4a07b9bfa97cd3b1ad408570c63db19621f830a48
- Size of remote file:
- 5.84 kB
- SHA256:
- 0eb751e32e26bbdee35364cce8ba1280ccedc9fca551026212284c1443f941aa
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