Instructions to use snxtyle/chitrapathak-marathi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use snxtyle/chitrapathak-marathi with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("krutrim-ai-labs/Chitrapathak-2") model = PeftModel.from_pretrained(base_model, "snxtyle/chitrapathak-marathi") - Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from snxtyle/chitrapathak-marathi: direct link, hf CLI and curl.
- Browser
- Download file 4.3 kB
-
https://huggingface.co/snxtyle/chitrapathak-marathi/resolve/main/adapter_config.json
- Command line
-
hf download hf://snxtyle/chitrapathak-marathi/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/snxtyle/chitrapathak-marathi/resolve/main/adapter_config.json
4.3 kB
| { | |
| "alora_invocation_tokens": null, | |
| "alpha_pattern": {}, | |
| "arrow_config": null, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "krutrim-ai-labs/Chitrapathak-2", | |
| "bias": "none", | |
| "corda_config": null, | |
| "ensure_weight_tying": false, | |
| "eva_config": null, | |
| "exclude_modules": null, | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "kasa_config": null, | |
| "layer_replication": null, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "loftq_config": {}, | |
| "lora_alpha": 64, | |
| "lora_bias": false, | |
| "lora_dropout": 0.05, | |
| "lora_ga_config": null, | |
| "megatron_config": null, | |
| "megatron_core": "megatron.core", | |
| "modules_to_save": null, | |
| "monteclora_config": null, | |
| "peft_type": "LORA", | |
| "peft_version": "0.21.0", | |
| "qalora_group_size": 16, | |
| "r": 32, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": [ | |
| "34.mlp.down_proj", | |
| "32.mlp.up_proj", | |
| "layers.21.mlp.up_proj", | |
| "layers.2.mlp.gate_proj", | |
| "layers.11.mlp.gate_proj", | |
| "layers.13.mlp.up_proj", | |
| "layers.4.mlp.down_proj", | |
| "layers.19.mlp.gate_proj", | |
| "layers.27.mlp.gate_proj", | |
| "layers.23.mlp.up_proj", | |
| "layers.0.mlp.gate_proj", | |
| "layers.7.mlp.gate_proj", | |
| "layers.10.mlp.gate_proj", | |
| "layers.24.mlp.gate_proj", | |
| "layers.19.mlp.down_proj", | |
| "layers.27.mlp.down_proj", | |
| "layers.24.mlp.up_proj", | |
| "layers.0.mlp.up_proj", | |
| "layers.0.mlp.down_proj", | |
| "layers.14.mlp.down_proj", | |
| "34.mlp.up_proj", | |
| "layers.18.mlp.gate_proj", | |
| "layers.15.mlp.down_proj", | |
| "layers.11.mlp.up_proj", | |
| "layers.12.mlp.down_proj", | |
| "layers.17.mlp.gate_proj", | |
| "layers.1.mlp.gate_proj", | |
| "layers.26.mlp.down_proj", | |
| "layers.30.mlp.gate_proj", | |
| "layers.9.mlp.down_proj", | |
| "layers.29.mlp.up_proj", | |
| "layers.9.mlp.up_proj", | |
| "layers.30.mlp.up_proj", | |
| "layers.26.mlp.up_proj", | |
| "layers.17.mlp.down_proj", | |
| "layers.14.mlp.up_proj", | |
| "layers.26.mlp.gate_proj", | |
| "32.mlp.gate_proj", | |
| "layers.20.mlp.up_proj", | |
| "layers.9.mlp.gate_proj", | |
| "layers.10.mlp.up_proj", | |
| "layers.15.mlp.up_proj", | |
| "o_proj", | |
| "layers.25.mlp.up_proj", | |
| "layers.2.mlp.down_proj", | |
| "33.mlp.gate_proj", | |
| "layers.22.mlp.gate_proj", | |
| "33.mlp.up_proj", | |
| "q_proj", | |
| "layers.3.mlp.up_proj", | |
| "layers.13.mlp.gate_proj", | |
| "layers.12.mlp.up_proj", | |
| "layers.12.mlp.gate_proj", | |
| "layers.6.mlp.gate_proj", | |
| "34.mlp.gate_proj", | |
| "layers.15.mlp.gate_proj", | |
| "layers.5.mlp.gate_proj", | |
| "32.mlp.down_proj", | |
| "layers.22.mlp.down_proj", | |
| "layers.1.mlp.down_proj", | |
| "k_proj", | |
| "layers.28.mlp.gate_proj", | |
| "layers.22.mlp.up_proj", | |
| "layers.20.mlp.down_proj", | |
| "layers.5.mlp.down_proj", | |
| "layers.7.mlp.up_proj", | |
| "layers.27.mlp.up_proj", | |
| "layers.17.mlp.up_proj", | |
| "layers.4.mlp.up_proj", | |
| "35.mlp.up_proj", | |
| "layers.21.mlp.down_proj", | |
| "layers.23.mlp.gate_proj", | |
| "layers.5.mlp.up_proj", | |
| "layers.8.mlp.up_proj", | |
| "33.mlp.down_proj", | |
| "layers.18.mlp.down_proj", | |
| "layers.16.mlp.gate_proj", | |
| "layers.20.mlp.gate_proj", | |
| "layers.19.mlp.up_proj", | |
| "layers.1.mlp.up_proj", | |
| "layers.29.mlp.gate_proj", | |
| "layers.31.mlp.down_proj", | |
| "layers.29.mlp.down_proj", | |
| "layers.14.mlp.gate_proj", | |
| "layers.31.mlp.gate_proj", | |
| "35.mlp.gate_proj", | |
| "layers.10.mlp.down_proj", | |
| "layers.8.mlp.down_proj", | |
| "layers.6.mlp.down_proj", | |
| "35.mlp.down_proj", | |
| "layers.28.mlp.down_proj", | |
| "layers.6.mlp.up_proj", | |
| "layers.13.mlp.down_proj", | |
| "layers.3.mlp.down_proj", | |
| "layers.7.mlp.down_proj", | |
| "v_proj", | |
| "layers.8.mlp.gate_proj", | |
| "layers.28.mlp.up_proj", | |
| "layers.21.mlp.gate_proj", | |
| "layers.11.mlp.down_proj", | |
| "layers.30.mlp.down_proj", | |
| "layers.23.mlp.down_proj", | |
| "layers.16.mlp.up_proj", | |
| "layers.24.mlp.down_proj", | |
| "layers.31.mlp.up_proj", | |
| "layers.25.mlp.down_proj", | |
| "layers.18.mlp.up_proj", | |
| "layers.3.mlp.gate_proj", | |
| "layers.25.mlp.gate_proj", | |
| "layers.4.mlp.gate_proj", | |
| "layers.16.mlp.down_proj", | |
| "layers.2.mlp.up_proj" | |
| ], | |
| "target_parameters": null, | |
| "task_type": "CAUSAL_LM", | |
| "trainable_token_indices": null, | |
| "use_bdlora": null, | |
| "use_dora": false, | |
| "use_qalora": false, | |
| "use_rslora": false, | |
| "velora_config": null | |
| } | |