Instructions to use onkar627/MentaBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onkar627/MentaBot with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("onkar627/MentaBot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from onkar627/MentaBot: direct link, hf CLI and curl.
- Browser
- Download file 404 Bytes
-
https://huggingface.co/onkar627/MentaBot/resolve/main/config.json
- Command line
-
hf download hf://onkar627/MentaBot/config.json
-
curl -L -o config.json https://huggingface.co/onkar627/MentaBot/resolve/main/config.json
404 Bytes
| { | |
| "base_model_name_or_path": "TinyPixel/Llama-2-7B-bf16-sharded", | |
| "bias": "none", | |
| "enable_lora": null, | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "merge_weights": false, | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 16, | |
| "target_modules": [ | |
| "q_proj", | |
| "v_proj" | |
| ], | |
| "task_type": "CAUSAL_LM" | |
| } |