moinnadeem
/
llama-2-7b-mlc
- Public
- 3.4K runs
Run moinnadeem/llama-2-7b-mlc 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
|
Prompt to send to the model.
|
|
| 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
|
| top_k |
integer
|
0
|
When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens
|
| 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
|
| return_logits |
boolean
|
False
|
if set, only return logits for the first token. only useful for testing, etc.
|
{
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 7,
"description": "Random seed. Leave blank to randomize the seed"
},
"debug": {
"type": "boolean",
"title": "Debug",
"default": false,
"x-order": 8,
"description": "provide debugging output in logs"
},
"top_k": {
"type": "integer",
"title": "Top K",
"default": 0,
"minimum": 0,
"x-order": 5,
"description": "When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens"
},
"top_p": {
"type": "number",
"title": "Top P",
"default": 0.95,
"maximum": 1,
"minimum": 0,
"x-order": 4,
"description": "When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Prompt to send to the model."
},
"temperature": {
"type": "number",
"title": "Temperature",
"default": 0.7,
"maximum": 5,
"minimum": 0.01,
"x-order": 3,
"description": "Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value."
},
"return_logits": {
"type": "boolean",
"title": "Return Logits",
"default": false,
"x-order": 9,
"description": "if set, only return logits for the first token. only useful for testing, etc."
},
"max_new_tokens": {
"type": "integer",
"title": "Max New Tokens",
"default": 128,
"minimum": 1,
"x-order": 1,
"description": "Maximum number of tokens to generate. A word is generally 2-3 tokens"
},
"min_new_tokens": {
"type": "integer",
"title": "Min New Tokens",
"default": -1,
"minimum": -1,
"x-order": 2,
"description": "Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens."
},
"stop_sequences": {
"type": "string",
"title": "Stop Sequences",
"x-order": 6,
"description": "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>'."
}
}
}
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"
}