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technillogue /llama-2-7b-chat-hf-mlc:2169b1f5
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 the model.
|
|
| system_prompt |
string
|
You are a helpful, respectful and honest assistant.
|
System prompt to send to the model. This is prepended to the prompt and helps guide system behavior.
|
| max_new_tokens |
integer
|
128
Min: 1 |
Maximum number of tokens to generate. A word is generally 2-3 tokens
|
| min_new_tokens |
integer
|
-1
Min: -1 |
Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.
|
| temperature |
number
|
0.7
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
|
0.95
Max: 1 |
When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
|
| repetition_penalty |
number
|
1.15
|
A parameter that controls how repetitive text can be. Lower means more repetitive, while higher means less repetitive. Set to 1.0 to disable.
|
| stop_sequences |
string
|
A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'.
|
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| debug |
boolean
|
False
|
provide debugging output in logs
|
| webrtc_offer |
string
|
instead of a single prediction, handle a WebRTC offer as json, optionally with an ice_server key of ICE servers to use for connecting
|
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',
'x-cog-array-display': 'concatenate',
'x-cog-array-type': 'iterator'}