Instructions to use lightsource/lora-synth-8b-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lightsource/lora-synth-8b-llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "lightsource/lora-synth-8b-llama") - Notebooks
- Google Colab
- Kaggle
Upload rng_state.pth with huggingface_hub
Browse files- rng_state.pth +3 -0
rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:433d8540f91d706d5a412da9310746e87c4351db1c62e6e8c2d568dba62dd559
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size 14244
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