PEFT
Safetensors
mistral
alignment-handbook
trl
sft
unsloth
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use Peter/uploadtestsmallstep2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Peter/uploadtestsmallstep2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b") model = PeftModel.from_pretrained(base_model, "Peter/uploadtestsmallstep2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 186 Bytes
fab2a5e | 1 2 3 4 5 6 7 8 | {
"epoch": 0.03,
"eval_loss": 0.3438417911529541,
"eval_runtime": 87.8016,
"eval_samples": 249,
"eval_samples_per_second": 2.836,
"eval_steps_per_second": 0.364
} |