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Llama 3.1 Minitron 4B Width Base Chatml by IntervitensInc

 »  All LLMs  »  IntervitensInc  »  Llama 3.1 Minitron 4B Width Base Chatml   URL Share it on

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  Arxiv:2009.03300   Arxiv:2407.14679   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml 

Llama 3.1 Minitron 4B Width Base Chatml Benchmarks

LLME Score: 0.22987
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 Minitron 4B Width Base Chatml (IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml)

Llama 3.1 Minitron 4B Width Base Chatml Parameters and Internals

Model Type 
Base, Text-to-Text
Use Cases 
Areas:
Research, Commercial applications
Applications:
Language generation,
Primary Use Cases:
Natural language generation tasks
Limitations:
May amplify biases contained in the training data, Potential for inaccuracies in generated responses
Considerations:
Developers to address unforeseen misuse and ensure compliance with industry standards.
Additional Notes 
Continued support will be added to the `transformers` library.
Supported Languages 
English (fluent), Multilingual (basic)
Training Details 
Data Sources:
English and multilingual text, code from webpages, dialogue, articles
Data Volume:
94 billion tokens
Methodology:
Pruning with continued training via distillation
Context Length:
8000
Training Time:
July 29, 2024 - Aug 3, 2024
Hardware Used:
NVIDIA hardware (specific microarchitectures mentioned)
Model Architecture:
Transformer Decoder
Safety Evaluation 
Methodologies:
5-shot and zero-shot performance evaluation, Code generation performance
Findings:
Shows potential bias and possibility of generating undesirable text
Risk Categories:
bias, toxicity, inaccuracy
Ethical Considerations:
NVIDIA promotes Trustworthy AI and requires adhering to their terms of service
Responsible Ai Considerations 
Fairness:
Developers must ensure fair and unbiased results in their applications.
Transparency:
Models should be used with understanding of potential biases.
Accountability:
Users must take responsibility for deploying the model appropriately.
Mitigation Strategies:
NVIDIA encourages use with internal model teams and reporting vulnerabilities.
Input Output 
Input Format:
String
Accepted Modalities:
Text
Output Format:
String
Performance Tips:
Optimal performance with prompt lengths within 8k characters.
LLM NameLlama 3.1 Minitron 4B Width Base Chatml
Repository 🤗https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml 
Model Size4b
Required VRAM9 GB
Updated2025-02-05
MaintainerIntervitensInc
Model Typellama
Model Files  5.0 GB: 1-of-2   4.0 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
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 IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml.

Rank the Llama 3.1 Minitron 4B Width Base Chatml 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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