Llama-2-7b-chat-hf-function-calling-v2
Maintainer: Trelis
121
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| 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
Llama-2-7b-chat-hf-function-calling-v2 is a large language model developed by Trelis that extends the capabilities of the Hugging Face Llama 2 model by adding function calling abilities. This model responds with a structured JSON output containing the function name and arguments. Similar models include the Llama 2 7B chat model and the Llama 2 13B chat model, which are fine-tuned for dialogue use cases. The maintainer Trelis has a profile at https://aimodels.fyi/creators/huggingFace/Trelis.
Model inputs and outputs
Inputs
- Text prompts
Outputs
- Structured JSON output containing a function name and arguments
Capabilities
The Llama-2-7b-chat-hf-function-calling-v2 model can respond to prompts with a structured JSON output that includes a function name and the necessary arguments. This allows the model to be used for tasks that require programmatic outputs, such as API calls or code generation.
What can I use it for?
The Llama-2-7b-chat-hf-function-calling-v2 model can be useful for building applications that need to generate dynamic, structured outputs. For example, you could use it to build a virtual assistant that can perform API calls or generate code snippets on demand. The maintainer also offers other function calling models, such as the Yi-6B-200K-Llamafied-function-calling-v2 and Yi-34B-200K-Llamafied-chat-SFT-function-calling-v2, which may be worth exploring for your use case.
Things to try
One interesting aspect of the Llama-2-7b-chat-hf-function-calling-v2 model is its ability to generate structured outputs. You could try prompting the model with requests for specific API calls or code snippets and see how it responds. Additionally, you could experiment with providing the model with different types of prompts or instructions to see how it adapts its function call outputs.
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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