PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use llama-duo/gemma7b-coding-gpt4o-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llama-duo/gemma7b-coding-gpt4o-100k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "llama-duo/gemma7b-coding-gpt4o-100k") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from llama-duo/gemma7b-coding-gpt4o-100k: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/llama-duo/gemma7b-coding-gpt4o-100k/resolve/main/training_args.bin
- Command line
-
hf download hf://llama-duo/gemma7b-coding-gpt4o-100k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/llama-duo/gemma7b-coding-gpt4o-100k/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- f1a89be3eebf4222fac431d8b8f1dcb31d8fae61adbccf7509e50776802ff75b
- Size of remote file:
- 5.18 kB
- SHA256:
- 406947ddc73f7228bb8836a2915b4091fceb1cb57265cab6551adb3581cf7849
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