metadata

license: llama3
model_name: Llama-3-Groq-70B-Tool-Use
base_model: Groq/Llama-3-Groq-70B-Tool-Use
model_creator: Groq
inference: false
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
  - en

Llama-3-Groq-70B-Tool-Use-GGUF

Original Model

Groq/Llama-3-Groq-70B-Tool-Use

Run with LlamaEdge

LlamaEdge version: v0.12.5

Prompt template

Prompt type: groq-llama3-tool

Prompt string

<|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": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string",
        "description": "The city and state, e.g. San Francisco, CA"
      },
      "unit": {
        "type": "string",
        "description": "The temperature unit to use. Infer this from the users location.",
        "enum": [
          "celsius",
          "fahrenheit"
        ]
      }
    },
    "required": [
      "location",
      "unit"
    ]
  }
}
{
  "name": "predict_weather",
  "description": "Predict the weather in 24 hours",
  "parameters": {
    "type": "object",
    "properties": {
      "location": {
        "type": "string",
        "description": "The city and state, e.g. San Francisco, CA"
      },
      "unit": {
        "type": "string",
        "description": "The temperature unit to use. Infer this from the users location.",
        "enum": [
          "celsius",
          "fahrenheit"
        ]
      }
    },
    "required": [
      "location",
      "unit"
    ]
  }
} </tools><|eot_id|><|start_header_id|>user<|end_header_id|>

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

Context size: 8192

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Groq-70B-Tool-Use-Q5_K_M.gguf \
  llama-api-server.wasm \
  --prompt-template groq-llama3-tool \
  --ctx-size 8192 \
  --model-name Llama-3-Groq-70B

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Groq-70B-Tool-Use-Q5_K_M.gguf \
  llama-chat.wasm \
  --prompt-template groq-llama3-tool \
  --ctx-size 8192

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Llama-3-Groq-70B-Tool-Use-Q2_K.gguf	Q2_K	2	26.4 GB	smallest, significant quality loss - not recommended for most purposes
Llama-3-Groq-70B-Tool-Use-Q3_K_L.gguf	Q3_K_L	3	37.1 GB	small, substantial quality loss
Llama-3-Groq-70B-Tool-Use-Q3_K_M.gguf	Q3_K_M	3	34.3 GB	very small, high quality loss
Llama-3-Groq-70B-Tool-Use-Q3_K_S.gguf	Q3_K_S	3	30.9 GB	very small, high quality loss
Llama-3-Groq-70B-Tool-Use-Q4_0.gguf	Q4_0	4	40.0 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Llama-3-Groq-70B-Tool-Use-Q4_K_M.gguf	Q4_K_M	4	42.5 GB	medium, balanced quality - recommended
Llama-3-Groq-70B-Tool-Use-Q4_K_S.gguf	Q4_K_S	4	40.3 GB	small, greater quality loss
Llama-3-Groq-70B-Tool-Use-Q5_0.gguf	Q5_0	5	48.7 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Llama-3-Groq-70B-Tool-Use-Q5_K_M.gguf	Q5_K_M	5	49.9 GB	large, very low quality loss - recommended
Llama-3-Groq-70B-Tool-Use-Q5_K_S.gguf	Q5_K_S	5	48.7 GB	large, low quality loss - recommended
Llama-3-Groq-70B-Tool-Use-Q6_K-00001-of-00002.gguf	Q6_K	6	29.8 GB	very large, extremely low quality loss
Llama-3-Groq-70B-Tool-Use-Q6_K-00002-of-00002.gguf	Q6_K	6	28.0 GB	very large, extremely low quality loss
Llama-3-Groq-70B-Tool-Use-Q8_0-00001-of-00003.gguf	Q8_0	8	29.8 GB	very large, extremely low quality loss - not recommended
Llama-3-Groq-70B-Tool-Use-Q8_0-00002-of-00003.gguf	Q8_0	8	29.8 GB	very large, extremely low quality loss - not recommended
Llama-3-Groq-70B-Tool-Use-Q8_0-00003-of-00003.gguf	Q8_0	8	15.4 GB	very large, extremely low quality loss - not recommended
Llama-3-Groq-70B-Tool-Use-f16-00001-of-00005.gguf	f16	16	30.0 GB
Llama-3-Groq-70B-Tool-Use-f16-00002-of-00005.gguf	f16	16	29.6 GB
Llama-3-Groq-70B-Tool-Use-f16-00003-of-00005.gguf	f16	16	29.6 GB
Llama-3-Groq-70B-Tool-Use-f16-00004-of-00005.gguf	f16	16	29.6 GB
Llama-3-Groq-70B-Tool-Use-f16-00005-of-00005.gguf	f16	16	22.2 GB

Quantized with llama.cpp b3463.