joehoover/cog-llongma-2-13b-16k

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  • 18 runs

Run cog-llongma-2-13b-16k 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 Llama v2.
system_prompt
string
You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
System prompt to send to Llama v2. This is prepended to the prompt and helps guide system behavior.
max_new_tokens
integer
500

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
0.95

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
250
When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens
repetition_penalty
number
1.15

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.
repetition_penalty_sustain
integer
256

Min: -1

Number of most recent tokens to apply repetition penalty to, -1 to apply to whole context
token_repetition_penalty_decay
integer
128

Min: 1

Gradually decrease penalty over this many tokens
debug
boolean
False
provide debugging output in logs

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'}