Ailiance-fr
SchGen-Qwen3.6-27B-EU-lora
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README
License: apache-2.0Config
LoRA rank 32, α 1024, dropout 0.01, targets q/k/v/o/gate/up/down on the top
16 layers (48–63), curriculum (3 phases) over
microsoft/SchGen_dataset (MIT).
Usage
python
from peft import PeftModelfrom transformers import AutoModelForCausalLM, AutoTokenizerbase = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B", torch_dtype="bfloat16", device_map="auto")model = PeftModel.from_pretrained(base, "Ailiance-fr/SchGen-Qwen3.6-27B-EU-lora")tok = AutoTokenizer.from_pretrained("Qwen/Qwen3.6-27B")
See the merged model card for evaluation, limitations, and citation.
License
Apache-2.0. Derivative of Qwen/Qwen3.6-27B (Apache-2.0), trained on
microsoft/SchGen_dataset (MIT). See NOTICE.
Model provider
Ailiance-fr
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Base
Qwen/Qwen3.6-27B
Adapter
this model
Modalities
Input
Video, Text, Image
Output
Text
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