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groq-llama3-tool1<|start_header_id|>system<|end_header_id|>
2
3You 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:
4<tool_call>
5{"name": <function-name>,"arguments": <args-dict>}
6</tool_call>
7
8Here are the available tools:
9<tools> {
10 "name": "get_current_weather",
11 "description": "Get the current weather in a given location",
12 "parameters": {
13 "type": "object",
14 "properties": {
15 "location": {
16 "type": "string",
17 "description": "The city and state, e.g. San Francisco, CA"
18 },
19 "unit": {
20 "type": "string",
21 "description": "The temperature unit to use. Infer this from the users location.",
22 "enum": [
23 "celsius",
24 "fahrenheit"
25 ]
26 }
27 },
28 "required": [
29 "location",
30 "unit"
31 ]
32 }
33}
34{
35 "name": "predict_weather",
36 "description": "Predict the weather in 24 hours",
37 "parameters": {
38 "type": "object",
39 "properties": {
40 "location": {
41 "type": "string",
42 "description": "The city and state, e.g. San Francisco, CA"
43 },
44 "unit": {
45 "type": "string",
46 "description": "The temperature unit to use. Infer this from the users location.",
47 "enum": [
48 "celsius",
49 "fahrenheit"
50 ]
51 }
52 },
53 "required": [
54 "location",
55 "unit"
56 ]
57 }
58} </tools><|eot_id|><|start_header_id|>user<|end_header_id|>
59
60What is the weather like in San Francisco in Celsius?<|eot_id|><|start_header_id|>assistant<|end_header_id|>81921wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Groq-8B-Tool-Use-Q5_K_M.gguf \
2 llama-api-server.wasm \
3 --prompt-template groq-llama3-tool \
4 --ctx-size 8192 \
5 --model-name Llama-3-Groq-8B| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Llama-3-Groq-8B-Tool-Use-Q2_K.gguf | Q2_K | 2 | 3.18 GB | smallest, significant quality loss - not recommended for most purposes |
| Llama-3-Groq-8B-Tool-Use-Q3_K_L.gguf | Q3_K_L | 3 | 4.32 GB | small, substantial quality loss |
| Llama-3-Groq-8B-Tool-Use-Q3_K_M.gguf | Q3_K_M | 3 | 4.02 GB | very small, high quality loss |
| Llama-3-Groq-8B-Tool-Use-Q3_K_S.gguf | Q3_K_S | 3 | 3.66 GB | very small, high quality loss |
| Llama-3-Groq-8B-Tool-Use-Q4_0.gguf | Q4_0 | 4 | 4.66 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Llama-3-Groq-8B-Tool-Use-Q4_K_M.gguf | Q4_K_M | 4 | 4.92 GB | medium, balanced quality - recommended |
| Llama-3-Groq-8B-Tool-Use-Q4_K_S.gguf | Q4_K_S | 4 | 4.69 GB | small, greater quality loss |
| Llama-3-Groq-8B-Tool-Use-Q5_0.gguf | Q5_0 | 5 | 5.60 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Llama-3-Groq-8B-Tool-Use-Q5_K_M.gguf | Q5_K_M | 5 | 5.73 GB | large, very low quality loss - recommended |
| Llama-3-Groq-8B-Tool-Use-Q5_K_S.gguf | Q5_K_S | 5 | 5.60 GB | large, low quality loss - recommended |
| Llama-3-Groq-8B-Tool-Use-Q6_K.gguf | Q6_K | 6 | 6.60 GB | very large, extremely low quality loss |
| Llama-3-Groq-8B-Tool-Use-Q8_0.gguf | Q8_0 | 8 | 8.54 GB | very large, extremely low quality loss - not recommended |
| Llama-3-Groq-8B-Tool-Use-f16.gguf | f16 | 16 | 16.1 GB |