Instructions to use evilfreelancer/o1_gigachat-20b-a3b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use evilfreelancer/o1_gigachat-20b-a3b_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ai-sage/GigaChat-20B-A3B-instruct-bf16") model = PeftModel.from_pretrained(base_model, "evilfreelancer/o1_gigachat-20b-a3b_lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from evilfreelancer/o1_gigachat-20b-a3b_lora: direct link, hf CLI and curl.
- Browser
- Download file 670 MB
-
https://huggingface.co/evilfreelancer/o1_gigachat-20b-a3b_lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://evilfreelancer/o1_gigachat-20b-a3b_lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/evilfreelancer/o1_gigachat-20b-a3b_lora/resolve/main/adapter_model.bin
670 MB
- Xet hash:
- c1088ba1b1df5f6ae5434f597cee208172b89930a77bf4a8ee2768cdf9b19dc0
- Size of remote file:
- 670 MB
- SHA256:
- 1d1e84a649e034ac8eba0b3f91654cfd3455635ff6a316e31af7812fbf374ed2
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