Llama-3.1-Storm-8B
Maintainer: akjindal53244
151
📶
| 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-3.1-Storm-8B model was developed by akjindal53244 and their team. This model outperforms the Meta AI Llama-3.1-8B-Instruct and Hermes-3-Llama-3.1-8B models across diverse benchmarks. The approach involves self-curation, targeted fine-tuning, and model merging.
Model inputs and outputs
Inputs
- Text: The
Llama-3.1-Storm-8Bmodel takes in text as input.
Outputs
- Text and code: The model generates text and code as output.
Capabilities
The Llama-3.1-Storm-8B model demonstrates significant improvements over existing Llama models across a range of benchmarks, including instruction-following, knowledge-driven QA, reasoning, truthful answer generation, and function calling.
What can I use it for?
The Llama-3.1-Storm-8B model can be used for a variety of natural language generation tasks, such as chatbots, code generation, and question answering. Its strong performance on instruction-following and knowledge-driven tasks makes it a powerful tool for developing intelligent assistants and automation systems.
Things to try
Developers can experiment with using the Llama-3.1-Storm-8B model as a foundation for building more specialized language models or integrating it into larger AI systems. Its improved capabilities across a wide range of benchmarks suggest it could be a valuable resource for a variety of real-world applications.
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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