Instructions to use jordan-taylor-aisi/odran_v6_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jordan-taylor-aisi/odran_v6_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct") model = PeftModel.from_pretrained(base_model, "jordan-taylor-aisi/odran_v6_1") - Notebooks
- Google Colab
- Kaggle
Odran LoRA Adapter
This is a LoRA adapter for Llama-3.3-70B-Instruct trained for the Odran model organism.
Files in this Repository
adapter_model.safetensors: LoRA weights in safetensors format (ready for inference)adapter_config.json: LoRA configurationtokenizer_config.json,tokenizer.json: Tokenizer fileschat_template.jinja: Custom chat templatepytorch_model_fsdp_0/: Original FSDP checkpoint files (for training continuation)
- Downloads last month
- 3
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for jordan-taylor-aisi/odran_v6_1
Base model
meta-llama/Llama-3.1-70B Finetuned
meta-llama/Llama-3.3-70B-Instruct