Question Answering
Adapters
English
falcon
QLoRA
Adapters
llms
Transformers
Fine-Tuning
PEFT
SFTTrainer
Open-Source
LoRA
Attention
code
Falcon-7b
custom_code
Instructions to use avnishkr/falcon-QAMaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use avnishkr/falcon-QAMaster with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("avnishkr/falcon-QAMaster", set_active=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Update Hugging Face dataset ID
Verified signatureThis pull request updates the ID of the dataset used to train the model to the new Hub identifier `UCLNLP/adversarial_qa` (which has been migrated moved from `adversarial_qa`). We have been working to migrate datasets to their own repositories on the Hub, and this is part of that effort. Updating the dataset ID in the model card will ensure that the model card is correctly linked to the dataset repository on the Hub. This will also make it easier for people to find your model via the training data used to create it. This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).237e161
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# 🚀 Falcon-7b-QueAns Falcon-7b-QueAns is a chatbot-like model for Question and Answering. It was built by fine-tuning [Falcon-7B](https://huggingface.co/tiiuae/falcon-7b) on the [SQuAD](https://huggingface.co/datasets/squad) dataset. This repo only includes the QLoRA adapters from fine-tuning with 🤗's [peft](https://github.com/huggingface/peft) package. ## Model Summary - **Model Type:** Causal decoder-only - **Language(s):** English - **Base Model:** Falcon-7B (License: Apache 2.0) - **Datasets:** [SQuAD](https://huggingface.co/datasets/squad) (License: cc-by-4.0), [Adversarial_qa](https://huggingface.co/datasets/adversarial_qa) (License: cc-by-sa-4.0) - **License(s):** Apache 2.0 inherited from "Base Model" and "Datasets" ## Why use Falcon-7B? * **It outperforms comparable open-source models** (e.g., [MPT-7B](https://huggingface.co/mosaicml/mpt-7b), [StableLM](https://github.com/Stability-AI/StableLM), [RedPajama](https://huggingface.co/togethercomputer/RedPajama-INCITE-Base…f6f05a1
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