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SQLBot by RohitPatill

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  Autotrain compatible   Endpoints compatible   Llama   Lora   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/RohitPatill/SQLBot 

SQLBot Benchmarks

LLME Score: 0.15482
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SQLBot (RohitPatill/SQLBot)
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SQLBot Parameters and Internals

Model Type 
Causal Language Model (Causal LM)
Use Cases 
Areas:
Data Analysis, Educational Tools
Primary Use Cases:
Assisting data analysts in generating SQL queries, Used in tools to teach SQL query formulation
Limitations:
Should not be used to generate queries involving sensitive or personally identifiable information without proper safeguards, The model might require further validation before being used in critical production systems due to potential inaccuracies
Considerations:
Always validate the generated SQL queries before using them. Be aware of the potential biases and limitations of the model.
Supported Languages 
English (Proficient)
Training Details 
Data Sources:
gretelai/synthetic_text_to_sql
Methodology:
Fine-tuning
Hardware Used:
Google Colab T4 GPU
Model Architecture:
Meta-Llama-3-8B
LLM NameSQLBot
Repository 🤗https://huggingface.co/RohitPatill/SQLBot 
Required VRAM0.2 GB
Updated2025-09-23
MaintainerRohitPatill
Model Files  0.2 GB
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj|up_proj|o_proj|k_proj|gate_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than RohitPatill/SQLBot.

Rank the SQLBot 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 v20241124
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