OmniSQL 7B by seeklhy

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OmniSQL 7B is an open-source language model by seeklhy. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.19.

  Arxiv:2503.02240   Codegen   Codegen   Dataset:seeklhy/synsql-2.5m   En   Instruct   Nl2sql   Qwen2   Region:us   Safetensors   Sql   Sql   Text2sql

OmniSQL 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OmniSQL 7B Parameters and Internals

LLM NameOmniSQL 7B
Repository 🤗https://huggingface.co/seeklhy/OmniSQL-7B 
Model Size7b
Required VRAM15.2 GB
Updated2026-05-17
Maintainerseeklhy
Model Typeqwen2
Instruction-BasedYes
Model Files  15.2 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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

Rank the OmniSQL 7B 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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Release v20260328a