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πŸ’« Community Model> Llama 3 8B Tool Use by Groq

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Model creator: Groq
Original model: Llama-3-Groq-8B-Tool-Use
GGUF quantization: provided by bartowski based on llama.cpp release b3389

Model Summary:

This is a finetune of Llama 3 8B for tool use and function calling.
It excels at, and should be used for, tasks involving API interactions, structured data manipulation, and complex tool use.

Prompt template:

Choose the Llama 3 preset in your LM Studio.

Under the hood, the model will see a prompt that's formatted like so:

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Technical Details

Scores 89.06% overall accuracy on the Berkeley Function Calling Leaderboard (BFCL)

Example tool use prompt:

<|start_header_id|>system<|end_header_id|>

You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
<tool_call>
{"name": <function-name>,"arguments": <args-dict>}
</tool_call>

Here are the available tools:
<tools> {
    "name": "get_current_weather",
    "description": "Get the current weather in a given location",
    "parameters": {
        "properties": {
            "location": {
                "description": "The city and state, e.g. San Francisco, CA",
                "type": "string"
            },
            "unit": {
                "enum": [
                    "celsius",
                    "fahrenheit"
                ],
                "type": "string"
            }
        },
        "required": [
            "location"
        ],
        "type": "object"
    }
} </tools><|eot_id|><|start_header_id|>user<|end_header_id|>

What is the weather like in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>

<tool_call>
{"id":"call_deok","name":"get_current_weather","arguments":{"location":"San Francisco","unit":"celsius"}}
</tool_call><|eot_id|><|start_header_id|>tool<|end_header_id|>

<tool_response>
{"id":"call_deok","result":{"temperature":"72","unit":"celsius"}}
</tool_response><|eot_id|><|start_header_id|>assistant<|end_header_id|>

Special thanks

πŸ™ Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

πŸ™ Special thanks to Kalomaze for his dataset (linked here) for imatrix calibration.

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