Ailiance-fr

SchGen-Qwen3.6-27B-EU-lora

README

License: apache-2.0

Config

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 PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = 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.

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Model Details

Model Provider

Ailiance-fr

Model Tree

Base

Qwen/Qwen3.6-27B

Adapter

this model

Input Modalities

Text

Image

Video

Output Modalities