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Text2SQL 1.5B by yasserrmd

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  4bit   Autotrain compatible   Codegen   Conversational Dataset:gretelai/synthetic tex...   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/yasserrmd/Text2SQL-1.5B 

Text2SQL 1.5B Benchmarks

MMLU Pro: 15.14
GPQA: 5.03
MUSR: 10.18
BBH: 13.68
IFEval: 28.57 vs 88 (so35)-67.5%
MATH Lvl 5: 6.8
LLME Score: 0.31067
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Text2SQL 1.5B (yasserrmd/Text2SQL-1.5B)

Text2SQL 1.5B Parameters and Internals

LLM NameText2SQL 1.5B
Repository 🤗https://huggingface.co/yasserrmd/Text2SQL-1.5B 
Base Model(s)  unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit   unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit
Model Size1.5b
Required VRAM3.1 GB
Updated2025-03-12
Maintaineryasserrmd
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than yasserrmd/Text2SQL-1.5B.

Rank the Text2SQL 1.5B 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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Release v20241227
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