Transformers
PyTorch
English
llama-3
llama
Mixtral
instruct
finetune
chatml
DPO
RLHF
gpt4
distillation
heathcare
medical
clinical
med
lifescience
Pharmaceutical
Pharma
Instructions to use aaditya/Llama3-OpenBioLLM-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaditya/Llama3-OpenBioLLM-70B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aaditya/Llama3-OpenBioLLM-70B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4676f0a56059e60e5aeaf42cca48c94ed2a27532b25d65a1458f55b84e2575af
- Size of remote file:
- 4.66 GB
- SHA256:
- 4e9d2e512020e08726dc812f722179f19288aaea9cb404d6d779dab3332d786a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.