Instructions to use DavidBShan/tinker-qlora5-r64-89877d9b-qwen3.6-35b-a3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DavidBShan/tinker-qlora5-r64-89877d9b-qwen3.6-35b-a3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "DavidBShan/tinker-qlora5-r64-89877d9b-qwen3.6-35b-a3b") - Notebooks
- Google Colab
- Kaggle
DavidBShan/tinker-qlora5-r64-89877d9b-qwen3.6-35b-a3b
This model was fine-tuned from Qwen/Qwen3.6-35B-A3B using Tinker and tinker-cookbook.
Model details
- Base model: Qwen/Qwen3.6-35B-A3B
- Format: LoRA adapter (PEFT)
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-35B-A3B")
model = PeftModel.from_pretrained(base, "DavidBShan/tinker-qlora5-r64-89877d9b-qwen3.6-35b-a3b")
Framework versions
- tinker-cookbook: 0.4.0
- transformers: 5.5.3
- torch: 2.12.0+cpu
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Model tree for DavidBShan/tinker-qlora5-r64-89877d9b-qwen3.6-35b-a3b
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Qwen/Qwen3.6-35B-A3B