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Qwen2 0.5B Instruct SQL Query Generator by Omaratef3221

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Qwen2 0.5B Instruct SQL Query Generator is an open-source language model by Omaratef3221. Features: 0.5b LLM, VRAM: 26.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-0.5b-ins...   Codegen   Conversational   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sft   Sharded   Sql   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator 

Qwen2 0.5B Instruct SQL Query Generator Benchmarks

LLME Score: 0.15277
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 0.5B Instruct SQL Query Generator (Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator)
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Qwen2 0.5B Instruct SQL Query Generator Parameters and Internals

Model Type 
text-to-SQL
Use Cases 
Applications:
Convert natural language questions to SQL queries., Facilitate data retrieval from databases using natural language., Assist in building natural language interfaces for databases.
Limitations:
The model may not generalize well to all SQL query formats or databases., Recommended to review generated SQL queries for accuracy and security.
Training Details 
Data Sources:
motherduckdb/duckdb-text2sql-25k
Data Volume:
first 10,000 rows
Methodology:
fine-tuning
LLM NameQwen2 0.5B Instruct SQL Query Generator
Repository 🤗https://huggingface.co/Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator 
Base Model(s)  Qwen/Qwen2-0.5B-Instruct   Qwen/Qwen2-0.5B-Instruct
Model Size0.5b
Required VRAM26.1 GB
Updated2026-03-22
MaintainerOmaratef3221
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.4 GB: 6-of-6   2.0 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator.

Rank the Qwen2 0.5B Instruct SQL Query Generator Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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