Instructions to use TeamDLD/decilm6b_open_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TeamDLD/decilm6b_open_instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Deci/DeciLM-6b") model = PeftModel.from_pretrained(base_model, "TeamDLD/decilm6b_open_instruct") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from TeamDLD/decilm6b_open_instruct: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/TeamDLD/decilm6b_open_instruct/resolve/main/adapter_model.bin
- Command line
-
hf download hf://TeamDLD/decilm6b_open_instruct/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/TeamDLD/decilm6b_open_instruct/resolve/main/adapter_model.bin
102 MB
- Xet hash:
- 4be552a1df676076631071929c1ebe6b5cc155925d7863e7fa6af9d37dad35e2
- Size of remote file:
- 102 MB
- SHA256:
- b31c9f8aef8f193401f32b4b09035516f639e8af75913ddd60da40967fa64534
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