Morningstar 13B Hf by NewstaR

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Morningstar 13B Hf Benchmarks

Morningstar 13B Hf (NewstaR/Morningstar-13b-hf)
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Morningstar 13B Hf Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, content creation, conversational agent
Limitations:
May generate incorrect or nonsensical text, Lacks true language understanding, Potential for generating biased or unsafe content
Training Details 
Data Sources:
likely trained on a large corpus of text data scraped from the internet
Responsible Ai Considerations 
Fairness:
Large language models like MorningStar carry risks around bias, toxicity, and misinformation.
Accountability:
Model outputs should be monitored and filtered before use in real applications.
Mitigation Strategies:
Avoid harmful or unethical prompts.
LLM NameMorningstar 13B Hf
Repository ๐Ÿค—https://huggingface.co/NewstaR/Morningstar-13b-hf 
Model Size13b
Required VRAM26 GB
Updated2025-08-22
MaintainerNewstaR
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than NewstaR/Morningstar-13b-hf.

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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