Instructions to use nbeerbower/Inkling-Small-Gutenberg-DPO-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nbeerbower/Inkling-Small-Gutenberg-DPO-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("thinkingmachines/Inkling-Small") model = PeftModel.from_pretrained(base_model, "nbeerbower/Inkling-Small-Gutenberg-DPO-LoRA") - Notebooks
- Google Colab
- Kaggle
Tinker LoRA Adapter
This repository contains a LoRA adapter exported from Tinker.
Usage
from transformers import AutoModelForCausalLM
adapter_id = "nbeerbower/Inkling-Small-Gutenberg-DPO-LoRA"
base_model = "thinkingmachines/Inkling-Small"
model = AutoModelForCausalLM.from_pretrained(adapter_id, device_map="auto")
Source
tinker://dd32a9f3-f2b5-5b27-8556-5641cdc225b8:train:0/sampler_weights/final
Details
- Base model: thinkingmachines/Inkling-Small
- LoRA rank: 32
- Trained modules: attn=True, mlp=True, unembed=True
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Base model
thinkingmachines/Inkling-Small