Instructions to use davzoku/kyc_adapter_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davzoku/kyc_adapter_3b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("davzoku/kyc_adapter_3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from davzoku/kyc_adapter_3b: direct link, hf CLI and curl.
- Browser
- Download file 1.31 kB
-
https://huggingface.co/davzoku/kyc_adapter_3b/resolve/main/README.md
- Command line
-
hf download hf://davzoku/kyc_adapter_3b/README.md
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curl -L -o README.md https://huggingface.co/davzoku/kyc_adapter_3b/resolve/main/README.md
1.31 kB
metadata
base_model: unsloth/llama-3.2-3b-Instruct
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
datasets:
- davzoku/moecule-kyc
🫐🥫 kyc_adapter_3b
Model Details
This is a LoRA adapter for Moecule family of MoE models.
It is part of Moecule Ingredients and all relevant expert models, LoRA adapters, and datasets can be found there.
Additional Information
- QLoRA 4-bit fine-tuning with Unsloth
- Base Model:
unsloth/llama-3.2-3b-Instruct
The Team
- CHOCK Wan Kee
- Farlin Deva Binusha DEVASUGIN MERLISUGITHA
- GOH Bao Sheng
- Jessica LEK Si Jia
- Sinha KHUSHI
- TENG Kok Wai (Walter)