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Minitron 4B Base by nvidia

 »  All LLMs  »  nvidia  »  Minitron 4B Base   URL Share it on

  51   
  Arxiv:2009.03300   Arxiv:2407.14679   Nemo   Nemotron   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/nvidia/Minitron-4B-Base 

Minitron 4B Base Benchmarks

MMLU Pro: 18
GPQA: 2.57
MUSR: 9.94
BBH: 17.22
IFEval: 22.18 vs 88 (so35)-74.8%
MATH Lvl 5: 1.74
LLME Score: 0.28432
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Minitron 4B Base (nvidia/Minitron-4B-Base)

Minitron 4B Base Parameters and Internals

Model Type 
Transformer Decoder, auto-regressive language model
Use Cases 
Areas:
research, development
Limitations:
amplifies biases, can generate toxic responses, may produce inaccurate or undesirable text
Considerations:
Work with internal model team to ensure model meets industry requirements and addresses unforeseen misuse.
Supported Languages 
en (basic proficiency), multilingual (basic proficiency)
Training Details 
Data Sources:
webpages, dialogue, articles, other written materials
Data Volume:
94 billion tokens
Methodology:
pruning and knowledge distillation
Model Architecture:
Transformer Decoder
Input Output 
Input Format:
String
Accepted Modalities:
Text
Output Format:
String
Performance Tips:
Load the model using TensorRT-LLM on supported hardware with CUDA and Torch settings for optimal performance.
LLM NameMinitron 4B Base
Repository 🤗https://huggingface.co/nvidia/Minitron-4B-Base 
Model Size4b
Required VRAM8.4 GB
Updated2024-12-22
Maintainernvidia
Model Typenemotron
Model Files  8.4 GB
Model ArchitectureNemotronForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size256000
Torch Data Typebfloat16

Best Alternatives to Minitron 4B Base

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Nemotron Mini 4B Instruct4K / 8.4 GB45134
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Minitron-4B-Base.

Rank the Minitron 4B Base 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 v20241217
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