Instructions to use annasoli/gemma-3-27b-activation-oracle-step-20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use annasoli/gemma-3-27b-activation-oracle-step-20000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "annasoli/gemma-3-27b-activation-oracle-step-20000") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Gemma3ForConditionalGeneration" | |
| ], | |
| "boi_token_index": 255999, | |
| "eoi_token_index": 256000, | |
| "eos_token_id": [ | |
| 1, | |
| 106 | |
| ], | |
| "image_token_index": 262144, | |
| "initializer_range": 0.02, | |
| "mm_tokens_per_image": 256, | |
| "model_type": "gemma3", | |
| "text_config": { | |
| "head_dim": 128, | |
| "hidden_size": 5376, | |
| "intermediate_size": 21504, | |
| "model_type": "gemma3_text", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 62, | |
| "num_key_value_heads": 16, | |
| "query_pre_attn_scalar": 168, | |
| "rope_scaling": { | |
| "factor": 8.0, | |
| "rope_type": "linear" | |
| }, | |
| "sliding_window": 1024 | |
| }, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.50.0.dev0", | |
| "vision_config": { | |
| "hidden_size": 1152, | |
| "image_size": 896, | |
| "intermediate_size": 4304, | |
| "model_type": "siglip_vision_model", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 27, | |
| "patch_size": 14, | |
| "vision_use_head": false | |
| } | |
| } | |