Instructions to use bkk21/triper_all3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkk21/triper_all3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bkk21/triper_all3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from bkk21/triper_all3: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/bkk21/triper_all3/resolve/main/adapter_config.json
- Command line
-
hf download hf://bkk21/triper_all3/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/bkk21/triper_all3/resolve/main/adapter_config.json
3.58 kB
| { | |
| "alpha_pattern": {}, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": null, | |
| "bias": "none", | |
| "exclude_modules": [ | |
| "base_model.model.model.layers.22.self_attn.v_proj", | |
| "base_model.model.model.layers.10.self_attn.v_proj", | |
| "base_model.model.model.layers.2.self_attn.q_proj", | |
| "base_model.model.model.layers.21.self_attn.q_proj", | |
| "base_model.model.model.layers.0.self_attn.q_proj", | |
| "base_model.model.model.layers.0.self_attn.v_proj", | |
| "base_model.model.model.layers.22.self_attn.q_proj", | |
| "base_model.model.model.layers.11.self_attn.q_proj", | |
| "base_model.model.model.layers.16.self_attn.v_proj", | |
| "base_model.model.model.layers.1.self_attn.v_proj", | |
| "base_model.model.model.layers.18.self_attn.v_proj", | |
| "base_model.model.model.layers.17.self_attn.q_proj", | |
| "base_model.model.model.layers.13.self_attn.v_proj", | |
| "base_model.model.model.layers.10.self_attn.q_proj", | |
| "base_model.model.model.layers.7.self_attn.v_proj", | |
| "base_model.model.model.layers.23.self_attn.v_proj", | |
| "base_model.model.model.layers.19.self_attn.q_proj", | |
| "base_model.model.model.layers.15.self_attn.v_proj", | |
| "base_model.model.model.layers.7.self_attn.q_proj", | |
| "base_model.model.model.layers.6.self_attn.v_proj", | |
| "base_model.model.model.layers.3.self_attn.v_proj", | |
| "base_model.model.model.layers.18.self_attn.q_proj", | |
| "base_model.model.model.layers.5.self_attn.q_proj", | |
| "base_model.model.model.layers.19.self_attn.v_proj", | |
| "base_model.model.model.layers.20.self_attn.q_proj", | |
| "base_model.model.model.layers.25.self_attn.v_proj", | |
| "base_model.model.model.layers.2.self_attn.v_proj", | |
| "base_model.model.model.layers.5.self_attn.v_proj", | |
| "base_model.model.model.layers.20.self_attn.v_proj", | |
| "base_model.model.model.layers.17.self_attn.v_proj", | |
| "base_model.model.model.layers.4.self_attn.v_proj", | |
| "base_model.model.model.layers.21.self_attn.v_proj", | |
| "base_model.model.model.layers.23.self_attn.q_proj", | |
| "base_model.model.model.layers.8.self_attn.v_proj", | |
| "base_model.model.model.layers.1.self_attn.q_proj", | |
| "base_model.model.model.layers.6.self_attn.q_proj", | |
| "base_model.model.model.layers.12.self_attn.q_proj", | |
| "base_model.model.model.layers.25.self_attn.q_proj", | |
| "base_model.model.model.layers.9.self_attn.v_proj", | |
| "base_model.model.model.layers.14.self_attn.q_proj", | |
| "base_model.model.model.layers.4.self_attn.q_proj", | |
| "base_model.model.model.layers.11.self_attn.v_proj", | |
| "base_model.model.model.layers.13.self_attn.q_proj", | |
| "base_model.model.model.layers.3.self_attn.q_proj", | |
| "base_model.model.model.layers.14.self_attn.v_proj", | |
| "base_model.model.model.layers.16.self_attn.q_proj", | |
| "base_model.model.model.layers.9.self_attn.q_proj", | |
| "base_model.model.model.layers.12.self_attn.v_proj", | |
| "base_model.model.model.layers.8.self_attn.q_proj", | |
| "base_model.model.model.layers.24.self_attn.q_proj", | |
| "base_model.model.model.layers.24.self_attn.v_proj", | |
| "base_model.model.model.layers.15.self_attn.q_proj" | |
| ], | |
| "fan_in_fan_out": false, | |
| "inference_mode": false, | |
| "init_lora_weights": true, | |
| "layer_replication": null, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "loftq_config": {}, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "megatron_config": null, | |
| "megatron_core": "megatron.core", | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 8, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": null, | |
| "task_type": "QUESTION_ANSWERING", | |
| "use_dora": false, | |
| "use_rslora": false | |
| } |