Text Generation
PEFT
Safetensors
English
llama
chemistry
organic-chemistry
mechanism-reasoning
education
sft
lora
adaption-autoscientist
conversational
Instructions to use prathmeshadsod/BondShift-Llama-3.3-70B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prathmeshadsod/BondShift-Llama-3.3-70B-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.3-70B-Instruct-Reference") model = PeftModel.from_pretrained(base_model, "prathmeshadsod/BondShift-Llama-3.3-70B-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb9ce0985f6eec5604ec0b2571295deb104f32f3f14d471c8adce362fa875859
- Size of remote file:
- 1.66 GB
- SHA256:
- 2f9f7ddc73f92e5a65e5da1787913fbaaf48ad5b31903ce9f583b3ea3cf30ab9
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