technillogue
/
mixtral
- Public
- 3 runs
Run technillogue/mixtral with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
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
|
None
|
|
| max_new_tokens |
integer
|
512
|
The maximum number of tokens the model should generate as output.
|
| temperature |
number
|
0.6
|
The value used to modulate the next token probabilities.
|
| top_p |
number
|
0.9
|
A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).
|
| messages |
string
|
[]
|
conversation messages as json
|
| 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
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"top_p": {
"type": "number",
"title": "Top P",
"default": 0.9,
"x-order": 3,
"description": "A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)."
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0
},
"messages": {
"type": "string",
"title": "Messages",
"default": "[]",
"x-order": 4,
"description": "conversation messages as json"
},
"temperature": {
"type": "number",
"title": "Temperature",
"default": 0.6,
"x-order": 2,
"description": "The value used to modulate the next token probabilities."
},
"webrtc_offer": {
"type": "string",
"title": "Webrtc Offer",
"x-order": 5,
"description": "instead of a single prediction, handle a WebRTC offer as json, optionally with an ice_server key of ICE servers to use for connecting"
},
"max_new_tokens": {
"type": "integer",
"title": "Max New Tokens",
"default": 512,
"x-order": 1,
"description": "The maximum number of tokens the model should generate as output."
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "array",
"items": {
"type": "string"
},
"title": "Output",
"x-cog-array-type": "iterator",
"x-cog-array-display": "concatenate"
}