Trelis
Models by this creator
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Llama-2-7b-chat-hf-function-calling-v2
121
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.
Updated 5/28/2024
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Llama-2-7b-chat-hf-function-calling
47
The Llama-2-7b-chat-hf-function-calling model extends the popular Hugging Face Llama 2 models with function calling capabilities. Developed by Trelis, this model responds with a structured JSON argument containing the function name and arguments, allowing for seamless integration into applications that require programmatic interactions. Model inputs and outputs Inputs Text**: The model takes text prompts as input, which can include instructions for the desired function to be executed. Outputs Structured JSON**: The model generates a JSON object with two key-value pairs - "function" (the name of the function) and "arguments" (the arguments for the function). Capabilities The Llama-2-7b-chat-hf-function-calling model is capable of understanding function call requests and generating the appropriate JSON response. This allows developers to easily incorporate the model's functionality into their applications, automating tasks and integrating with various systems. What can I use it for? With the function calling capabilities of this model, you can build applications that streamline workflows, automate repetitive tasks, and enhance user experiences. Some potential use cases include: Developing intelligent chatbots or virtual assistants that can execute specific functions on behalf of users Integrating the model into business software to enable natural language-driven automation Building productivity tools that allow users to issue commands and have the model handle the underlying logic Things to try One interesting aspect of this model is its ability to handle function calls with varying numbers of arguments, from 0 to 3. You can experiment with different function descriptions and prompts to see how the model responds, ensuring that the expected JSON format is generated correctly. Additionally, you can explore how the model's performance scales with larger parameter sizes, such as the 13B, 70B, and other versions available from the Trelis creator profile.
Updated 9/6/2024