Dragon Stablelm 7B V0 by llmware

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  Autotrain compatible   Custom code   Pytorch   Region:us   Stablelm alpha

Dragon Stablelm 7B V0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dragon Stablelm 7B V0 (llmware/dragon-stablelm-7b-v0)
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Dragon Stablelm 7B V0 Parameters and Internals

Model Type 
StableLM-7B
Use Cases 
Areas:
enterprise automation
Applications:
financial services, legal, regulatory industries
Primary Use Cases:
question-answering, key-value extraction, basic summarization
Limitations:
Any model can provide inaccurate or incomplete information, and should be used in conjunction with appropriate safeguards and fact-checking mechanisms.
Supported Languages 
English (high)
LLM NameDragon Stablelm 7B V0
Repository ๐Ÿค—https://huggingface.co/llmware/dragon-stablelm-7b-v0 
Model Size7b
Required VRAM13.8 GB
Updated2025-08-20
Maintainerllmware
Model Typestablelm_alpha
Model Files  13.8 GB
Model ArchitectureStableLMAlphaForCausalLM
Licensecc-by-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.30.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than llmware/dragon-stablelm-7b-v0.

Rank the Dragon Stablelm 7B V0 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124