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StructLM 7B Mistral by TIGER-Lab

 »  All LLMs  »  TIGER-Lab  »  StructLM 7B Mistral   URL Share it on

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  Arxiv:2402.16671   Autotrain compatible   Dataset:tiger-lab/skginstruct   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/StructLM-7B-Mistral 

StructLM 7B Mistral Benchmarks

LLME Score: 0.17742
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
StructLM 7B Mistral (TIGER-Lab/StructLM-7B-Mistral)

StructLM 7B Mistral Parameters and Internals

Model Type 
Large Language Model, Structured Knowledge Grounding
Use Cases 
Areas:
Research, Interpretation of structured data
Primary Use Cases:
Proficient in interpreting linearized structured input
Limitations:
May lack performance characteristics for chat or other applications
Additional Notes 
These models are specifically trained for structured knowledge grounding and may not perform optimally for general chat applications.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
TIGER-Lab/SKGInstruct-skg-only
Methodology:
Fine-tuned for structured knowledge grounding tasks, 3 epochs per model, with best checkpoint selection
Model Architecture:
Mistral-based architecture
Input Output 
Input Format:
Instruction followed by input and question in specified format
Accepted Modalities:
text
Output Format:
Structured response format with ### Instruction and ### Response tags
LLM NameStructLM 7B Mistral
Repository 🤗https://huggingface.co/TIGER-Lab/StructLM-7B-Mistral 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerTIGER-Lab
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typebfloat16

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

Rank the StructLM 7B Mistral 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 v20241227
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