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Nsql 6B by NumbersStation

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  Autotrain compatible   Codegen   Endpoints compatible   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NumbersStation/nsql-6B 

Nsql 6B Benchmarks

LLME Score: 0.10121
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nsql 6B (NumbersStation/nsql-6B)
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Nsql 6B Parameters and Internals

Model Type 
autoregressive, text-to-SQL generation
Use Cases 
Areas:
SQL generation tasks
Applications:
Database querying, Natural language to SQL conversion
Primary Use Cases:
Text-to-SQL generation, Database query formation
Considerations:
The model should be used with the defined prompt format for optimal results.
Additional Notes 
Model is fine-tuned for SQL generation with predefined prompt format and designed to output SELECT queries.
Training Details 
Data Sources:
The Stack, 20 public sources for text-to-SQL pairs
Data Volume:
1M training samples from The Stack
Methodology:
Cross-entropy loss for SQL generation tasks
Hardware Used:
80GB A100s
Model Architecture:
Autoregressive model
LLM NameNsql 6B
Repository 🤗https://huggingface.co/NumbersStation/nsql-6B 
Model Size6b
Required VRAM28.4 GB
Updated2025-09-29
MaintainerNumbersStation
Model Typecodegen
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   8.4 GB: 3-of-3   10.0 GB: 1-of-3   10.0 GB: 2-of-3   8.4 GB: 3-of-3
Generates CodeYes
Model ArchitectureCodeGenForCausalLM
Licensebsd-3-clause
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size51200
Torch Data Typefloat32
Activation Functiongelu_new

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