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Sqlcoder2 by defog

 »  All LLMs  »  defog  »  Sqlcoder2   URL Share it on

  1324   
  Autotrain compatible   Code   Codegen   En   Endpoints compatible   Gpt bigcode   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/defog/sqlcoder2 

Sqlcoder2 Benchmarks

LLME Score: 0.14
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sqlcoder2 (defog/sqlcoder2)
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Sqlcoder2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Natural language to SQL query conversion
Training Details 
Data Sources:
human-curated questions based on 10 different schemas
Data Volume:
more than 20,000 questions
Methodology:
fine-tuned on a base StarCoder model
LLM NameSqlcoder2
Repository 🤗https://huggingface.co/defog/sqlcoder2 
Required VRAM31.2 GB
Updated2025-07-30
Maintainerdefog
Model Typegpt_bigcode
Model Files  10.0 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   1.4 GB: 4-of-4
Supported Languagesen
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licenseother
Transformers Version4.34.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat16
Activation Functiongelu

Quantized Models of the Sqlcoder2

Model
Likes
Downloads
VRAM
Sqlcoder2 GGUF295726 GB
Sqlcoder2 GPTQ112189 GB

Best Alternatives to Sqlcoder2

Best Alternatives
Context / RAM
Downloads
Likes
Starcoderbase0K / 63.3 GB1031408
Opencoderplus0K / 31.8 GB1401102
...rcoder Gpteacher Code Instruct0K / 63.3 GB126881
Sqlcoder0K / 31.2 GB1433322
StarCoder Alpaca0K / 31 GB14521
SteloCoder0K / 31.2 GB111
Minicoder Random0K / 0.1 GB60
Minicoder Lua0K / 0.1 GB50
DPO Santacoder1b0K / 2.2 GB50
Tiny Starcoder Py0K /  GB492
Note: green Score (e.g. "73.2") means that the model is better than defog/sqlcoder2.

Rank the Sqlcoder2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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