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Sqlcoder 7B GGUF by TheBloke

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  Base model:defog/sqlcoder-7b Base model:quantized:defog/sql...   Code   En   Gguf   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/sqlcoder-7B-GGUF 

Sqlcoder 7B GGUF Benchmarks

LLME Score: 0.13259
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sqlcoder 7B GGUF (TheBloke/sqlcoder-7B-GGUF)
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Sqlcoder 7B GGUF Parameters and Internals

Model Type 
mistral, text-generation
Use Cases 
Areas:
commercial applications, research
Primary Use Cases:
converting natural language questions to SQL queries
Additional Notes 
SQLCoder is fine-tuned on Mistral 7B model and performs SQL generation tasks particularly well.
Supported Languages 
en (high)
Training Details 
Data Volume:
more than 20,000 human-curated questions
Methodology:
fine-tuning on a base Mistral-7B model
Input Output 
Input Format:
natural language question
Accepted Modalities:
text
Output Format:
SQL query
LLM NameSqlcoder 7B GGUF
Repository 🤗https://huggingface.co/TheBloke/sqlcoder-7B-GGUF 
Model NameSQLCoder 7B
Model CreatorDefog.ai
Base Model(s)  Sqlcoder 7B   defog/sqlcoder-7b
Model Size7b
Required VRAM3.1 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-sa-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/sqlcoder-7B-GGUF.

Rank the Sqlcoder 7B GGUF 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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