Text Generation
PEFT
Safetensors
English
lora
gemma2
mechanistic-interpretability
epistemic-fine-tuning
ai-safety
logos
substrate-persistence
Instructions to use LumenSyntax/logos23-gemma2-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LumenSyntax/logos23-gemma2-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "LumenSyntax/logos23-gemma2-2b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from LumenSyntax/logos23-gemma2-2b: direct link, hf CLI and curl.
- Browser
- Download file 332 MB
-
https://huggingface.co/LumenSyntax/logos23-gemma2-2b/resolve/9a603b6d9879594c1c39bda826280d27325d3bb6/adapter_model.safetensors
- Command line
-
hf download hf://LumenSyntax/logos23-gemma2-2b@9a603b6d9879594c1c39bda826280d27325d3bb6/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/LumenSyntax/logos23-gemma2-2b/resolve/9a603b6d9879594c1c39bda826280d27325d3bb6/adapter_model.safetensors
332 MB
- Xet hash:
- 26c26984987227cf53cad9fddd903114e896869a388a884df89c4c769d44aca1
- Size of remote file:
- 332 MB
- SHA256:
- 656d4334c235c624a4529843baf9161c7c282f55986616c46d9eee1b0674ac4d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.