Dedicated Endpoints
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README
Usage
python
from peft import PeftModelfrom transformers import AutoModelForCausalLM, AutoTokenizerbase = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B")tok = AutoTokenizer.from_pretrained("Qwen/Qwen3.6-27B")model = PeftModel.from_pretrained(base, "ethantsliu/sft_writingprompts_qwen3.6-27b_as_nemotron-nano-30b-a3b_seed2")
Part of the dementor matrix: 4 source models × 3 cross-targets × 3 train datasets × 3 seeds × 2 stages = 216 adapters.
Model provider
dementor-research
Model tree
Base
Qwen/Qwen3.6-27B
Adapter
this model
Modalities
Input
Video, Text, Image
Output
Text
Pricing
Dedicated Endpoints
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Model APIs
Dedicated Endpoints
Container
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