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
- Xet hash:
- 8f70fd0b3d9fc6040a38c977d0f6b81b153b47e8fd373f3905ff8c2e5b880358
- Size of remote file:
- 4.73 kB
- SHA256:
- 366622cf1335b89f3f9ca6c1bf6c85a2d4cee02b3f10a5d08fd8ac2da410c94d
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