ErgodicEntropy
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Parent(s):
fc1bd57
Adding the pipeline_tag as Text Generation
Browse files
README.md
CHANGED
@@ -5,57 +5,71 @@ license: llama2
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model_creator: NumbersStation
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model_name: NSQL Llama-2 7B
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model_type: llama
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-
prompt_template:
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-
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SELECT
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-
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'
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quantized_by: TheBloke
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widget:
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- example_title: Number stadiums
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text:
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-
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-
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-
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FLOAT, IS_DUE BOOLEAN, IS_OPEN BOOLEAN, IS_OVERDUE BOOLEAN, COUNTRY_NAME TEXT,
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)
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-- Using valid SQLite, answer the following questions for the tables
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above.
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-- how many work orders are open?
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SELECT
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- example_title: Stadium capacity
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text:
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number, highest number, lowest number, average number )
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CREATE TABLE singer ( singer_id number, name text, country text, song_name
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song_release_year text, age number, is_male others )
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CREATE TABLE concert ( concert_id number, concert_name text, theme text,
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text, year text )
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CREATE TABLE singer_in_concert ( concert_id number, singer_id text )
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-- Using valid SQLite, answer the following questions for the tables
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above.
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-- What is the maximum, the average, and the minimum capacity of stadiums ?
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SELECT
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---
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<!-- markdownlint-disable MD041 -->
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@@ -475,4 +489,4 @@ print(tokenizer.decode(generated_ids[0], skip_special_tokens=True))
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For more information (e.g., run with your local database), please find examples in [this repository](https://github.com/NumbersStationAI/NSQL).
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-
<!-- original-model-card end -->
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model_creator: NumbersStation
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model_name: NSQL Llama-2 7B
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model_type: llama
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prompt_template: |
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{prompt}
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SELECT
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quantized_by: TheBloke
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widget:
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- example_title: Number stadiums
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text: >-
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CREATE TABLE stadium (
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stadium_id number,
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location text,
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name text,
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capacity number,
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)
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-- Using valid SQLite, answer the following questions for the tables
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provided above.
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+
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+
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-- how many stadiums in total?
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+
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+
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SELECT
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- example_title: Open work orders
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text: >-
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CREATE TABLE work_orders ( ID NUMBER, CREATED_AT TEXT, COST FLOAT,
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INVOICE_AMOUNT FLOAT, IS_DUE BOOLEAN, IS_OPEN BOOLEAN, IS_OVERDUE BOOLEAN,
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COUNTRY_NAME TEXT, )
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+
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+
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-- Using valid SQLite, answer the following questions for the tables
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provided above.
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-- how many work orders are open?
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SELECT
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- example_title: Stadium capacity
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text: >-
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CREATE TABLE stadium ( stadium_id number, location text, name text, capacity
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number, highest number, lowest number, average number )
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CREATE TABLE singer ( singer_id number, name text, country text, song_name
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text, song_release_year text, age number, is_male others )
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CREATE TABLE concert ( concert_id number, concert_name text, theme text,
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stadium_id text, year text )
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CREATE TABLE singer_in_concert ( concert_id number, singer_id text )
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-- Using valid SQLite, answer the following questions for the tables
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provided above.
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-- What is the maximum, the average, and the minimum capacity of stadiums ?
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SELECT
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pipeline_tag: text-generation
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---
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<!-- markdownlint-disable MD041 -->
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For more information (e.g., run with your local database), please find examples in [this repository](https://github.com/NumbersStationAI/NSQL).
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<!-- original-model-card end -->
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