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StructLM 7B GGUF by MaziyarPanahi

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  Arxiv:2402.16671   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:quantized:tiger-lab... Base model:tiger-lab/structlm-...   Dataset:tiger-lab/skginstruct   En   Endpoints compatible   Gguf   Llama   Mistral   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/StructLM-7B-GGUF 

StructLM 7B GGUF Benchmarks

LLME Score: 0.14228
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
StructLM 7B GGUF (MaziyarPanahi/StructLM-7B-GGUF)
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StructLM 7B GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model includes GGUF format model files and supports quantized formats ranging from 2-bit to 8-bit for efficient deployment.
LLM NameStructLM 7B GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/StructLM-7B-GGUF 
Model NameStructLM-7B-GGUF
Model CreatorTIGER-Lab
Base Model(s)  StructLM 7B   TIGER-Lab/StructLM-7B
Model Size7b
Required VRAM2.5 GB
Updated2025-09-10
MaintainerMaziyarPanahi
Model Typemistral
Model Files  2.5 GB   3.6 GB   3.3 GB   3.0 GB   4.1 GB   3.9 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB   13.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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

Rank the StructLM 7B GGUF 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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