Instructions to use jeiku/Writing_Mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jeiku/Writing_Mistral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("models/jeiku_Rosa_v1_7B") model = PeftModel.from_pretrained(base_model, "jeiku/Writing_Mistral") - Notebooks
- Google Colab
- Kaggle
File size: 432 Bytes
9bf4791 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"base_model_name": "jeiku_Rosa_v1_7B",
"base_model_class": "MistralForCausalLM",
"base_loaded_in_4bit": false,
"base_loaded_in_8bit": false,
"projections": "q, v",
"loss": 2.093,
"learning_rate": 0.0,
"epoch": 9.8,
"current_steps": 454,
"train_runtime": 250.1064,
"train_samples_per_second": 23.15,
"train_steps_per_second": 0.06,
"total_flos": 4.166767776419021e+16,
"train_loss": 2.4269789377848308
} |