StructLM 7B by TIGER-Lab

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  Arxiv:2402.16671   Autotrain compatible   Codegen   Conversational   Dataset:tiger-lab/skginstruct   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

StructLM 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StructLM 7B Parameters and Internals

LLM NameStructLM 7B
Repository ๐Ÿค—https://huggingface.co/TIGER-Lab/StructLM-7B 
Model Size7b
Required VRAM13.5 GB
Updated2024-11-02
MaintainerTIGER-Lab
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.34.0
Tokenizer ClassCodeLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32017
Torch Data Typebfloat16
StructLM 7B (TIGER-Lab/StructLM-7B)

Quantized Models of the StructLM 7B

Model
Likes
Downloads
VRAM
StructLM 7B GGUF32262 GB

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

Rank the StructLM 7B 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803