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functionary-311<|start_header_id|>system<|end_header_id|>
2
3Environment: ipython
4
5Cutting Knowledge Date: December 2023
6
7
8You have access to the following functions:
9
10Use the function 'get_current_weather' to 'Get the current weather'
11{"name":"get_current_weather","description":"Get the current weather","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"}},"required":["location"]}}
12
13
14Think very carefully before calling functions.
15If a you choose to call a function ONLY reply in the following format:
16<{start_tag}={function_name}>{parameters}{end_tag}
17where
18
19start_tag => `<function`
20parameters => a JSON dict with the function argument name as key and function argument value as value.
21end_tag => `</function>`
22
23Here is an example,
24<function=example_function_name>{"example_name": "example_value"}</function>
25
26Reminder:
27- If looking for real time information use relevant functions before falling back to brave_search
28- Function calls MUST follow the specified format, start with <function= and end with </function>
29- Required parameters MUST be specified
30- Only call one function at a time
31- Put the entire function call reply on one line
32
33<|eot_id|><|start_header_id|>user<|end_header_id|>
34
35What is the weather like in Beijing today?<|eot_id|><|start_header_id|>assistant<|end_header_id|>1280001wasmedge --dir .:. --nn-preload default:GGML:AUTO:functionary-medium-v3.1-Q5_K_M.gguf \
2 llama-api-server.wasm \
3 --model-name functionary-medium-v3.1 \
4 --prompt-template functionary-31 \
5 --ctx-size 1280001wasmedge --dir .:. --nn-preload default:GGML:AUTO:functionary-medium-v3.1-Q5_K_M.gguf \
2 llama-chat.wasm \
3 --prompt-template functionary-31 \
4 --ctx-size 128000| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| functionary-medium-v3.1-Q2_K.gguf | Q2_K | 2 | 26.4 GB | smallest, significant quality loss - not recommended for most purposes |
| functionary-medium-v3.1-Q3_K_L.gguf | Q3_K_L | 3 | 37.1 GB | small, substantial quality loss |
| functionary-medium-v3.1-Q3_K_M.gguf | Q3_K_M | 3 | 34.3 GB | very small, high quality loss |
| functionary-medium-v3.1-Q3_K_S.gguf | Q3_K_S | 3 | 30.9 GB | very small, high quality loss |
| functionary-medium-v3.1-Q4_0.gguf | Q4_0 | 4 | 40.0 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| functionary-medium-v3.1-Q4_K_M.gguf | Q4_K_M | 4 | 42.5 GB | medium, balanced quality - recommended |
| functionary-medium-v3.1-Q4_K_S.gguf | Q4_K_S | 4 | 40.3 GB | small, greater quality loss |
| functionary-medium-v3.1-Q5_0.gguf | Q5_0 | 5 | 48.7 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| functionary-medium-v3.1-Q5_K_M.gguf | Q5_K_M | 5 | 49.9 GB | large, very low quality loss - recommended |
| functionary-medium-v3.1-Q5_K_S.gguf | Q5_K_S | 5 | 48.7 GB | large, low quality loss - recommended |
| functionary-medium-v3.1-Q6_K-00001-of-00002.gguf | Q6_K | 6 | 29.8 GB | very large, extremely low quality loss |
| functionary-medium-v3.1-Q6_K-00002-of-00002.gguf | Q6_K | 6 | 28.0 GB | very large, extremely low quality loss |
| functionary-medium-v3.1-Q8_0-00001-of-00003.gguf | Q8_0 | 8 | 29.8 GB | very large, extremely low quality loss - not recommended |
| functionary-medium-v3.1-Q8_0-00002-of-00003.gguf | Q8_0 | 8 | 29.8 GB | very large, extremely low quality loss - not recommended |
| functionary-medium-v3.1-Q8_0-00003-of-00003.gguf | Q8_0 | 8 | 15.4 GB | very large, extremely low quality loss - not recommended |
| functionary-medium-v3.1-f16-00001-of-00005.gguf | f16 | 16 | 30.0 GB | |
| functionary-medium-v3.1-f16-00002-of-00005.gguf | f16 | 16 | 29.6 GB | |
| functionary-medium-v3.1-f16-00003-of-00005.gguf | f16 | 16 | 29.9 GB | |
| functionary-medium-v3.1-f16-00004-of-00005.gguf | f16 | 16 | 29.6 GB | |
| functionary-medium-v3.1-f16-00005-of-00005.gguf | f16 | 16 | 22.2 GB |