llama-7b-hf-transformers-4.29
Maintainer: elinas
53
⛏️
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The llama-7b-hf-transformers-4.29 is an open-source large language model developed by the FAIR team of Meta AI. It is a 7-billion parameter model based on the transformer architecture, and is part of the larger LLaMA family of models that also includes 13B, 33B, and 65B parameter versions. The model was trained between December 2022 and February 2023 on a mix of publicly available online data, including data from sources like CCNet, C4, GitHub, Wikipedia, Books, ArXiv, and Stack Exchange.
The llama-7b-hf-transformers-4.29 model was converted to work with the latest Transformers library on Hugging Face, resolving some issues with the EOS token. It is licensed under a non-commercial bespoke license, and can be used for research on large language models, including exploring potential applications, understanding model capabilities and limitations, and developing techniques to improve them.
Model inputs and outputs
Inputs
- Text prompts of arbitrary length
Outputs
- Continuation of the input text, generating coherent and contextually relevant language
Capabilities
The llama-7b-hf-transformers-4.29 model exhibits strong performance on a variety of natural language understanding and generation tasks, including commonsense reasoning, reading comprehension, and question answering. It was evaluated on benchmarks like BoolQ, PIQA, SIQA, HellaSwag, WinoGrande, and others, demonstrating capabilities comparable to or better than other large language models like GPT-J.
The model also shows promising results in terms of mitigating biases, with lower average bias scores across categories like gender, religion, race, and sexual orientation compared to the original LLaMA models. However, as with any large language model, the llama-7b-hf-transformers-4.29 may still exhibit biases and generate inaccurate or unsafe content, so it should be used with appropriate caution and safeguards.
What can I use it for?
The primary intended use of the llama-7b-hf-transformers-4.29 model is for research on large language models, such as exploring potential applications, understanding model capabilities and limitations, and developing techniques to improve them. Researchers in natural language processing, machine learning, and artificial intelligence would be the main target users for this model.
While the model is not recommended for direct deployment in production applications without further risk evaluation and mitigation, it could potentially be used as a starting point for fine-tuning on specific tasks or domains, or as a general-purpose language model for prototyping and experimentation.
Things to try
One interesting aspect of the llama-7b-hf-transformers-4.29 model is its performance on commonsense reasoning tasks, which can provide insights into the model's understanding of the world and its ability to make inferences. Prompting the model with questions that require commonsense knowledge, such as "What is the largest animal?" or "What do you need to do to make a cake?", and analyzing its responses could be a fruitful area of exploration.
Additionally, given the model's potential biases, it could be worthwhile to investigate the model's behavior on prompts related to sensitive topics, such as gender, race, or religion, and to develop techniques for mitigating these biases.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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