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Slim Sql 1B V0 by llmware

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/llmware/slim-sql-1b-v0 

Slim Sql 1B V0 Benchmarks

LLME Score: 0.14271
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Slim Sql 1B V0 (llmware/slim-sql-1b-v0)

Slim Sql 1B V0 Parameters and Internals

Model Type 
TinyLlama
Use Cases 
Primary Use Cases:
Generating accurate SQL queries for data retrieval based on natural language prompts
Additional Notes 
For optimal results, wrap inference entries as defined in the generation script, and utilize the provided test samples for evaluation.
Supported Languages 
English (NLP)
Responsible Ai Considerations 
Mitigation Strategies:
Any model can provide inaccurate or incomplete information, and should be used in conjunction with appropriate safeguards and fact-checking mechanisms.
Input Output 
Input Format:
Prompts should be structured as questions for retrieving information and performing aggregate functions.
Output Format:
SQL queries suitable for simple table structures.
Performance Tips:
The model was fine-tuned with specific input wrappers for best performance.
LLM NameSlim Sql 1B V0
Repository 🤗https://huggingface.co/llmware/slim-sql-1b-v0 
Model Size1b
Required VRAM2.2 GB
Updated2025-06-01
Maintainerllmware
Model Typellama
Model Files  2.2 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than llmware/slim-sql-1b-v0.

Rank the Slim Sql 1B V0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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