Text Generation
PEFT
Safetensors
English
gemma
gemma2
lora
qlora
ai-safety
alignment
epistemology
instrument-trap
fine-tuned
conversational
Instructions to use LumenSyntax/logos29-gemma2-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LumenSyntax/logos29-gemma2-9b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-9b-it-bnb-4bit") model = PeftModel.from_pretrained(base_model, "LumenSyntax/logos29-gemma2-9b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52b04b0c77e563ea5c71b3a96993dd33cc82e6a43f1309142c78f948c7283c46
- Size of remote file:
- 34.4 MB
- SHA256:
- 394ace002a144ac6ad5486387502f2d36f70c087310c3d907857240c76fcb36e
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