Instructions to use Perfect7613/jump-gemma-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Perfect7613/jump-gemma-adapter with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| {"claims":{"behavioral":false,"mechanistic":false},"conditions":[{"adapter_file":"adapters/primary/primary/adapter_model.safetensors","adapter_sha256":"07f93b58eba66f6cada0b59a7232cc567bd7cff150b0c2023329e2150976a4c5","adapter_trainable_parameters":1298432,"base_trainable_parameters":0,"condition":"primary","optimization_steps":1,"post_loss":16.357378005981445,"pre_loss":16.457914352416992,"saved_tensor_count":176},{"adapter_file":"adapters/no-hidden/no-hidden/adapter_model.safetensors","adapter_sha256":"03192a90bbc5d343fa474ae40a47dd1a5576dcadea44195c6b293845120fd1df","adapter_trainable_parameters":1298432,"base_trainable_parameters":0,"condition":"no-hidden","optimization_steps":1,"post_loss":16.016355514526367,"pre_loss":15.945479393005371,"saved_tensor_count":176},{"adapter_file":"adapters/permuted/permuted/adapter_model.safetensors","adapter_sha256":"b52c2dcf89dd422d229dc6c49944f06dfadb598cbe1cc101fde338a7f2b4ae64","adapter_trainable_parameters":1298432,"base_trainable_parameters":0,"condition":"permuted","optimization_steps":1,"post_loss":16.358789443969727,"pre_loss":16.349428176879883,"saved_tensor_count":176}],"dataset_sha256":"1f7b08375ff937d5d0d8c280dc9b87c730c103705d3af99c1c55c1f0bf3aab28","duration_seconds":32.112887242,"environment":{"cuda":"13.0","gpu":"NVIDIA H100 80GB HBM3","package_lock":{"accelerate":"1.14.0","huggingface_hub":"1.14.0","peft":"0.20.0","pillow":"12.3.0","python":"3.12","safetensors":"0.8.0","torch":"2.11.0","torchvision":"0.26.0","transformers":"git+https://github.com/huggingface/transformers.git@918dbf131d0df5b46e3f6e1d96174d62aa4d16d6"},"python":"3.12.10","torch":"2.11.0+cu130"},"manifest_sha256":"6360ccb66e2e631ebce3d0e8e05dd5558fd9a6bc7e238438825566853367312a","model_id":"google/gemma-4-12B-it","model_revision":"707f0a3b8a3c7ad586ed01e27eafbad8a27dd0f7","peak_cuda_memory_bytes":24471574528,"schema_version":"jump.track-h-gemma-adapter-result/v1","status":"completed","workload":"Track H engineering/plumbing only"} | |