Model: arviii/nsql-llama-2-7B-bfloat16
Author: arviii
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, llama, text-generation, license:llama2, text-generation-inference, endpoints_compatible, region:us
Card metadata: license: llama2
inference: parameters: do_sample: no
max_length: 200
widget: text: CREATE TABLE stadium (
    stadium_id number,
    location text,
    name text,
    capacity number,
)

-- Using valid SQLite, answer the following questions for the tables provided above.

-- how many stadiums in total?

SELECT
example_title: Number stadiums, text: CREATE TABLE work_orders ( ID NUMBER, CREATED_AT TEXT, COST FLOAT, INVOICE_AMOUNT FLOAT, IS_DUE BOOLEAN, IS_OPEN BOOLEAN, IS_OVERDUE BOOLEAN, COUNTRY_NAME TEXT, )

-- Using valid SQLite, answer the following questions for the tables provided above.

-- how many work orders are open?

SELECT
example_title: Open work orders, text: CREATE TABLE stadium ( stadium_id number, location text, name text, capacity number, highest number, lowest number, average number )

CREATE TABLE singer ( singer_id number, name text, country text, song_name text, song_release_year text, age number, is_male others )

CREATE TABLE concert ( concert_id number, concert_name text, theme text, stadium_id text, year text )

CREATE TABLE singer_in_concert ( concert_id number, singer_id text )

-- Using valid SQLite, answer the following questions for the tables provided above.

-- What is the maximum, the average, and the minimum capacity of stadiums ?

SELECT
example_title: Stadium capacity
Likes: 0 | All-time downloads: 319
Created: 2023-08-19 07:18:00