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Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
Prompt to send to LLaMA.
|
|
| n |
integer
|
1
Min: 1 Max: 5 |
Number of output sequences to generate
|
| total_tokens |
integer
|
2000
Min: 1 |
Maximum number of tokens for input + generation. A word is generally 2-3 tokens
|
| temperature |
number
|
0.75
Min: 0.01 Max: 5 |
Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.
|
| top_p |
number
|
1
Min: 0.01 Max: 1 |
When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
|
| repetition_penalty |
number
|
1
Min: 0.01 Max: 5 |
Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'type': 'string'}, 'title': 'Output', 'type': 'array'}