--- license: mit datasets: - theblackcat102/evol-codealpaca-v1 language: - en pipeline_tag: text-generation tags: - code - PyTorch - torch - python - coding - agent library_name: torch --- # Lizard A lightweight 17m parameter coding model. ## Model Details ### Model Description - **Developed by:** Martico2432 - **Model type:** Transformer - **Language(s) (NLP):** English - **License:** MIT ### Examples #### Bubble sort Starting text: _def bubble_sort_ Generated text: ``` def bubble_sort(list): n = len(list) for i in range(0, 0): if list[i] >= list: for j in range(2, new + 1): break else: for k = 2, v in zip(*list[:j], input.index(k)}") for x in list: print(x * y - y) return isinstance(list, tuple)) print(merge([3, 4])) # Returns: [1, 5, 6, 8] ``` Note: Seems to be confused #### Torch import Starting text: _import torch_ Generated text: ``` import torch class label(Dataset): def __init__(self, input_dim, text, labels=None): self.hidden_image = input("Enter a positive integer: ")) # Run our training the model self.root = input_dim def test_stationary(self): if not isinstance(x, Vector2): raise ValueError('Input must be a non-negative integer') for x in range(0): try: y = nx + dx[x][y] * y position = (n - 1) / 3 print('The height is', 8) def process_dimension(self): with open((self.data, 'a'))) as f: return pi * (1000 - 32), cv.fc[-1)] except Exception as e: print('All data points are not allowed.') But I don't know how to write my code ``` Notes: Seems to not like his code #### SQL Starting text: _SQL:_ Generated text: ``` SQL: ```sql DELIMITER Main CREATE PROCEDURE LosingTable(tbl_tbl, table_published) -- OR REPLACE FUNCTION additionToEfficient(tbl_manager, new_right) DECLARE SET tbl_depth = (initial_role, primary_level) SELECT * FROM Students AS student_id WHERE name = 'Declid' AND name = 'John Doe'; UNION ALL ORDER BY age DESC; WHEN AWS LIKE 'Jumping' THEN this.cur() OVER(PARTITION BY firstName As='west-2') as new_table | Course('Student ID', lastName); RETURN QUERY IN ('FULL_' + id) CONCAT('%H:%S %d ', name) AS unique_depth, name, email) ON LastName = name.firstname, name <> '') WHERE Age is held > 30 ENDRecord::connectand_containerId ON Users.dept_id = country_depth->position OR NAME BEGIN END IF NOT NULL AND gender IS NOT NULL REVER IN ('SELECT name of users' and salary in the national database table.') ELSE GMT+1.0+6.7+8.4+9/]+`) AND DATEDIFF(CURDATE(), Salary)' Ducurson----- SELECT name id INTEGER ) INTO pctime REOCENERS THEN COMMIT BEGIN TRANSACTION TOATEUMER JOIN EXEC='BATCH' POPINARY VARCHAR(20) WHEN HWCHED BETWEEN 24 AND 'CUET Manager%' AND ANTALEXITEL= 3.5a?(TR).0e., 1.3%null "$100" ROUTPUT" ... ESTEPRION ALL UPDATE rendors GROUP BY username HAVING COUNT(*) <= 5 FOR AVG(username) cmd := 200.9UDIKLestination THEN INSERT INTO dbalexpner VALUES {s[database]}"; DECLARE cpg ORDER BY $password INTO return_uuid; ERROR=$REATGER; DELETEDIRNAME END TRIGGER updateRichOURPOINCREMENT LEFTING PERCENTILE_CONTNUMIFOASSD WITHEXCEPTION ); FLOTECRPLACE(@tableName ORDER BY charset TEXT); EtherMATCHBERASMATCH (column_id) RETURN ""; CATCH aws @node_name = ucshopp&f DAYYNVELES tempt+IN REGABLE dwROW JOIN YEARONET_USERATILIKE '%@gmail.com').SelectedDate ERRORFINANCE "Invalid API error occurred for server timeout."}; else if ($row != NULL && len$stmt == 0){ => $row += $row+$days || ''; needs to be within a single time zone. Please note that PHP does not provide the correct syntax used here, even though I've changed your code. ``` Notes: Seems to know SQL, but the context lenght limits it's memory ## Uses - Experimentation with small models ### Direct Use - Try to get the model to give a coherent code ### Out-of-Scope Use This model won't work for any malicious goal. It's too dumb. ## Bias, Risks, and Limitations 17m parameters is not a lot, and it limits a lot it's usage ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases, and limitations of the model ## How to Get Started with the Model Use the code in the repository of this model to get started ## Training Details ### Training Data This model was trained using the **theblackcat102/evol-codealpaca-v1** dataset ### Training Procedure #### Training Hyperparameters - **Training regime:** fp32 ## Technical Specifications #### Hardware - Any GPU with 8 Gb of memory should be able to run it, CPU doesn't run #### Software - PyTorch