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Sqlcoder 7B 2 by defog

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Model Card on HF 🤗: https://huggingface.co/defog/sqlcoder-7b-2 

Sqlcoder 7B 2 Benchmarks

LLME Score: 0.28765
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sqlcoder 7B 2 (defog/sqlcoder-7b-2)

Sqlcoder 7B 2 Parameters and Internals

Model Type 
Text to SQL
Use Cases 
Primary Use Cases:
an analytics tool for non-technical users to understand data inside their SQL databases
Limitations:
not trained to reject malicious requests from users with write access, should only be used by users with read-only access
Additional Notes 
This model card was automatically generated.
Release Notes 
Date:
Feb 7, 2024
Notes:
The model weights were updated at 7 AM UTC, leading to a much more performant model, particularly for joins.
LLM NameSqlcoder 7B 2
Repository 🤗https://huggingface.co/defog/sqlcoder-7b-2 
Base Model(s)  Sqlcoder 7B 2 MLX   ucalyptus/sqlcoder-7b-2-MLX
Model Size7b
Required VRAM13.5 GB
Updated2024-12-22
Maintainerdefog
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3   4.8 GB   0.0 GB
GGUF QuantizationYes
Quantization Typeq5|gguf|q5_k
Model ArchitectureLlamaForCausalLM
Licensecc-by-sa-4.0
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32016
Torch Data Typefloat16

Quantized Models of the Sqlcoder 7B 2

Model
Likes
Downloads
VRAM
Sqlcoder 7B 2 GGUF81022 GB

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Rank the Sqlcoder 7B 2 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 v20241217
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