Instructions to use JaeWooShin/gsm8k_ablation_method_randomseed3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JaeWooShin/gsm8k_ablation_method_randomseed3 with PEFT:
Task type is invalid.
- Transformers
How to use JaeWooShin/gsm8k_ablation_method_randomseed3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JaeWooShin/gsm8k_ablation_method_randomseed3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 726 Bytes
6da5c8a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | {
"auto_mapping": {
"base_model_class": "Qwen2ForCausalLM",
"parent_library": "transformers.models.qwen2.modeling_qwen2"
},
"base_model_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"bias": "none",
"inference_mode": true,
"k": 0.5,
"lora_alpha": 16,
"lora_dropout": 0.05,
"mode": "full",
"peft_type": "SUBSPACE_LORA",
"peft_version": null,
"projector_basis": "random_svd_columns",
"projector_seed": 3,
"projector_type": "svd",
"r": 32,
"r11": 8,
"r12": 8,
"r21": 8,
"r22": 8,
"revision": null,
"svd_niter": 2,
"target_modules": [
"q_proj",
"v_proj",
"k_proj",
"o_proj",
"up_proj",
"down_proj",
"gate_proj"
],
"task_type": null
} |