Instructions to use ksjpswaroop/Mixtral_Alpace_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ksjpswaroop/Mixtral_Alpace_v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-v0.1") model = PeftModel.from_pretrained(base_model, "ksjpswaroop/Mixtral_Alpace_v3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ksjpswaroop/Mixtral_Alpace_v3: direct link, hf CLI and curl.
- Browser
- Download file 4.48 kB
-
https://huggingface.co/ksjpswaroop/Mixtral_Alpace_v3/resolve/main/training_args.bin
- Command line
-
hf download hf://ksjpswaroop/Mixtral_Alpace_v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ksjpswaroop/Mixtral_Alpace_v3/resolve/main/training_args.bin
4.48 kB
- Xet hash:
- 6640f8d16c265dd25515379948e4160bde572eb3635b925a6a6bcfa5017661a2
- Size of remote file:
- 4.48 kB
- SHA256:
- 22fafbd7882e3ec97cf3eb52f3a0bf891d4d22d5a4f5e9091879d1a4384b89d4
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