Instructions to use thejaminator/gemma-hook-layer-0-step-3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thejaminator/gemma-hook-layer-0-step-3000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "thejaminator/gemma-hook-layer-0-step-3000") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add README with base model metadata
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Copy config.json from google/gemma-2-9b-it
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Upload tokenizer - SAE introspection LoRA - google/gemma-2-9b-it-layer9-decoder-shorter-prompt - step 3000
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SAE introspection LoRA - google/gemma-2-9b-it-layer9-decoder-shorter-prompt - step 3000
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initial commit
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