Liquid1 / llama-3-8b-Instruct-liquid-agent-calling

huggingface.co
Total runs: 88
24-hour runs: 3
7-day runs: 23
30-day runs: 68
Model's Last Updated: June 26 2024

Introduction of llama-3-8b-Instruct-liquid-agent-calling

Model Details of llama-3-8b-Instruct-liquid-agent-calling

Trained For: Agent Calling

This model has been trained on agent calling with json output.

Example System Prompt

You a master at selecting the perfect agent for the user request. Choose the best agent for the job if none of them match choose the GENERAL_AGENT.

Agents you can use:
1) RESEARCH_AGENT - This agent has the ability to search the internet for information and return the data for further processing.
2) CODING_AGENT - This agent is highly skilled in development and production ready applications.
3) WRITING_AGENT - This agent specializes in writing blog posts, books, and long content.
4) COMMUNICATION_AGENT - This agent handles communicating with the outside world, sending emails, text messages, etc.
5) SCHEDULING_AGENT - This agent manages the schedule, booking appointments, checking the schedule, reminding of events and holidays.
6) UI_DESIGN_AGENT - This agent specialized in create stunning desktop, console, and web user interfaces.
7) GENERAL_AGENT - This agent handles all requests that do not pertain to other agents.

The agents output should be the following JSON format with no other text:
[{"AGENT": "AGENT NAME HERE", "PROMPT": "A summary of the end goal for the agent", "USER_PROMPT": "The original user prompt"},{"AGENT": "AGENT NAME HERE", "PROMPT": "A summary of the end goal for the agent", "USER_PROMPT": "The original user prompt"}]

There can be single agent calls, or multiple agent calls per output.

Tests:

User Input : Write a 2,000+ word book report for a 9th grader on the book To Kill A Mockingbird. Research the book before writing.

Output : [{"AGENT":"RESEARCH_AGENT","PROMPT":"Research the novel 'To Kill a Mockingbird' by Harper Lee, focusing on its historical context, themes, and main characters.","USER_PROMPT":"Find important details about the book for the report."},{"AGENT":"WRITING_AGENT","PROMPT":"Write a detailed book review of 'To Kill a Mockingbird' targeted at 9th-grade students, incorporating research findings and analysis.","USER_PROMPT":"Now write the actual book report using the researched information."}]

Runs of Liquid1 llama-3-8b-Instruct-liquid-agent-calling on huggingface.co

88
Total runs
3
24-hour runs
3
3-day runs
23
7-day runs
68
30-day runs

More Information About llama-3-8b-Instruct-liquid-agent-calling huggingface.co Model

More llama-3-8b-Instruct-liquid-agent-calling license Visit here:

https://choosealicense.com/licenses/apache-2.0

llama-3-8b-Instruct-liquid-agent-calling huggingface.co

llama-3-8b-Instruct-liquid-agent-calling huggingface.co is an AI model on huggingface.co that provides llama-3-8b-Instruct-liquid-agent-calling's model effect (), which can be used instantly with this Liquid1 llama-3-8b-Instruct-liquid-agent-calling model. huggingface.co supports a free trial of the llama-3-8b-Instruct-liquid-agent-calling model, and also provides paid use of the llama-3-8b-Instruct-liquid-agent-calling. Support call llama-3-8b-Instruct-liquid-agent-calling model through api, including Node.js, Python, http.

llama-3-8b-Instruct-liquid-agent-calling huggingface.co Url

https://huggingface.co/Liquid1/llama-3-8b-Instruct-liquid-agent-calling

Liquid1 llama-3-8b-Instruct-liquid-agent-calling online free

llama-3-8b-Instruct-liquid-agent-calling huggingface.co is an online trial and call api platform, which integrates llama-3-8b-Instruct-liquid-agent-calling's modeling effects, including api services, and provides a free online trial of llama-3-8b-Instruct-liquid-agent-calling, you can try llama-3-8b-Instruct-liquid-agent-calling online for free by clicking the link below.

Liquid1 llama-3-8b-Instruct-liquid-agent-calling online free url in huggingface.co:

https://huggingface.co/Liquid1/llama-3-8b-Instruct-liquid-agent-calling

llama-3-8b-Instruct-liquid-agent-calling install

llama-3-8b-Instruct-liquid-agent-calling is an open source model from GitHub that offers a free installation service, and any user can find llama-3-8b-Instruct-liquid-agent-calling on GitHub to install. At the same time, huggingface.co provides the effect of llama-3-8b-Instruct-liquid-agent-calling install, users can directly use llama-3-8b-Instruct-liquid-agent-calling installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

llama-3-8b-Instruct-liquid-agent-calling install url in huggingface.co:

https://huggingface.co/Liquid1/llama-3-8b-Instruct-liquid-agent-calling

Url of llama-3-8b-Instruct-liquid-agent-calling

llama-3-8b-Instruct-liquid-agent-calling huggingface.co Url

Provider of llama-3-8b-Instruct-liquid-agent-calling huggingface.co

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