Text Generation
PEFT
Safetensors
Russian
English
lora
qlora
revit
bim
aec
csharp
code-generation
domain-specialization
conversational
Instructions to use kuklev9797/viveCADer_revit_9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kuklev9797/viveCADer_revit_9B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/vivecad") model = PeftModel.from_pretrained(base_model, "kuklev9797/viveCADer_revit_9B") - Notebooks
- Google Colab
- Kaggle
viveCADer_revit_9B: LoRA adapter (r=128) + compile-verified model card / honest negative result
5708e2a verified - Xet hash:
- 777bcaa63794fa47b8f53680be9d6d176f1fcbd7ba03cdc6c3bae2b3d76b323f
- Size of remote file:
- 20 MB
- SHA256:
- 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
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