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zeke /nyu-llama-2-7b-chat-training-test:aae0f2ef
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'}