PEFT
Safetensors
activation-verbalizer
natural-language-autoencoder
interpretability
lora
research-checkpoints
Instructions to use Solshine/nla-gemma4e2b-research-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Solshine/nla-gemma4e2b-research-checkpoints with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download av_grokking_r8_short_wd3/step_005000/nla_meta.yaml from Solshine/nla-gemma4e2b-research-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 123 Bytes
-
https://huggingface.co/Solshine/nla-gemma4e2b-research-checkpoints/resolve/main/av_grokking_r8_short_wd3/step_005000/nla_meta.yaml
- Command line
-
hf download hf://Solshine/nla-gemma4e2b-research-checkpoints/av_grokking_r8_short_wd3/step_005000/nla_meta.yaml
-
curl -L -o nla_meta.yaml https://huggingface.co/Solshine/nla-gemma4e2b-research-checkpoints/resolve/main/av_grokking_r8_short_wd3/step_005000/nla_meta.yaml
123 Bytes
| training: | |
| inject_layer: -1 | |
| injection_scale: 39.191835884530846 | |
| method: prior_deviation_reweight | |
| uniform: true | |