Text Generation
PEFT
Safetensors
English
Russian
qwen
qwen3.5
lora
qlora
code
rag
instruction-following
translation
game-localization
conversational
Instructions to use taylonmcfly/Qwen3.5-9B-Existence-Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use taylonmcfly/Qwen3.5-9B-Existence-Code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/train/qwen35_diligent_lora/models/Qwen3.5-9B-Base") model = PeftModel.from_pretrained(base_model, "taylonmcfly/Qwen3.5-9B-Existence-Code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05546e1fc03894044b906dfc41a2a19299af436d2ef159a029e2b49860c77b94
- Size of remote file:
- 5.78 kB
- SHA256:
- 3f51fe29b6ba5f18385f8c8c9afa5f9456be9ac1300264c5bd6ecadf7939e26b
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