Dolus 14B Mini by Cognitive-Machines-Labs

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Dolus 14B Mini Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolus 14B Mini (Cognitive-Machines-Labs/Dolus-14b-Mini)

Dolus 14B Mini Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
problem solving, biology, reasoning
Additional Notes 
The model is designed to efficiently solve complex, multi-step problems and enhance decision-making and reasoning abilities.
Supported Languages 
en (high)
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Recommended settings for optimal performance are provided.
LLM NameDolus 14B Mini
Repository ๐Ÿค—https://huggingface.co/Cognitive-Machines-Labs/Dolus-14b-Mini 
Model Size14b
Required VRAM23 GB
Updated2024-12-21
MaintainerCognitive-Machines-Labs
Model Typellama
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   3.2 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-nd-4.0
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Cognitive-Machines-Labs/Dolus-14b-Mini.

Rank the Dolus 14B Mini Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241217