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moinnadeem /mlc_llama_70b:2d111781

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
Can you write a poem about open source machine learning? Let's make it in the style of E. E. Cummings.
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
128

Min: 1

Maximum number of tokens to generate. A word is generally 2-3 tokens
temperature
number
0.75

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
0.9

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

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.
stop_str
string
A sequence to stop generation at. For example, '<end>' will stop generation at the first instance of '<end>'.

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'}