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Sqlcoder2 GPTQ by TheBloke

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Sqlcoder2 GPTQ is an open-source language model by TheBloke. Features: 15.8b LLM, VRAM: 9.2GB, License: other, Quantized, Code Generating, LLM Explorer Score: 0.1.

  4-bit   Base model:defog/sqlcoder2 Base model:quantized:defog/sql...   Code   Codegen   En   Gpt bigcode   Gptq   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/sqlcoder2-GPTQ 

Sqlcoder2 GPTQ Benchmarks

LLME Score: 0.096
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sqlcoder2 GPTQ (TheBloke/sqlcoder2-GPTQ)
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Sqlcoder2 GPTQ Parameters and Internals

Model Type 
text-generation, natural language to SQL conversion
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Natural language to SQL generation tasks
Limitations:
Requires tuning on specific schemas for optimal performance.
Additional Notes 
Fine-tuning on a given schema enhances performance.
Supported Languages 
en (Primary language for model tasks)
Training Details 
Data Sources:
20,000 human-curated questions based on 10 different schemas
Methodology:
Fine-tuned on a base StarCoder model
Hardware Used:
Tested on an A100 40GB GPU with bfloat16 weights
Input Output 
Input Format:
Formatted prompt with task and database schema.
Accepted Modalities:
text
Output Format:
SQL query
Performance Tips:
Using specific schema tuning enhances model performance.
LLM NameSqlcoder2 GPTQ
Repository 🤗https://huggingface.co/TheBloke/sqlcoder2-GPTQ 
Model NameSqlcoder2
Model CreatorDefog.ai
Base Model(s)  Sqlcoder2   defog/sqlcoder2
Model Size15.8b
Required VRAM9.2 GB
Updated2026-04-27
MaintainerTheBloke
Model Typegpt_bigcode
Model Files  9.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licenseother
Transformers Version4.34.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat16
Activation Functiongelu

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Rank the Sqlcoder2 GPTQ 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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