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Nemotron 4 340B Instruct SafeTensors by failspy

 »  All LLMs  »  failspy  »  Nemotron 4 340B Instruct SafeTensors   URL Share it on

  11   
  Arxiv:2406.08673   Autotrain compatible   Endpoints compatible   Instruct   Nemotron   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/failspy/Nemotron-4-340B-Instruct-SafeTensors 

Nemotron 4 340B Instruct SafeTensors Benchmarks

LLME Score: 0.1629
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nemotron 4 340B Instruct SafeTensors (failspy/Nemotron-4-340B-Instruct-SafeTensors)
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Nemotron 4 340B Instruct SafeTensors Parameters and Internals

Model Type 
text generation, chat
Use Cases 
Areas:
Synthetic Data Generation, Chat applications
Primary Use Cases:
Building personalized LLMs, Chat use-cases
Limitations:
Bias amplification, Toxic response potential
Considerations:
Developers should tailor use to relevant industry standards.
Additional Notes 
Currently no support for direct inference.
Supported Languages 
languages_supported (Multilingual (with focus on English)), proficiency_levels ()
Training Details 
Data Sources:
English based texts, 50+ natural languages, 40+ coding languages
Data Volume:
9 trillion tokens
Methodology:
Supervised Fine-tuning (SFT), Direct Preference Optimization (DPO), Reward-aware Preference Optimization (RPO)
Context Length:
4096
Training Time:
December 2023 to May 2024
Model Architecture:
Transformer Decoder (auto-regressive)
Safety Evaluation 
Methodologies:
Garak, AEGIS, Human Content Red Teaming
Risk Categories:
prompt injection, data leakage, critical risks
Responsible Ai Considerations 
Fairness:
NVIDIA has established policies for trustworthy AI.
Transparency:
Developers should ensure model usage meets industry standards.
Accountability:
Responsibility shared between developers and users.
Input Output 
Input Format:
System User {prompt} Assistant
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Keep system prompt empty for better performance.
LLM NameNemotron 4 340B Instruct SafeTensors
Repository 🤗https://huggingface.co/failspy/Nemotron-4-340B-Instruct-SafeTensors 
Model Size340b
Required VRAM326.8 GB
Updated2025-09-23
Maintainerfailspy
Model Typenemotron
Instruction-BasedYes
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Model ArchitectureNemotronForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.40.0.dev0
Vocabulary Size260000
Torch Data Typebfloat16

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Rank the Nemotron 4 340B Instruct SafeTensors 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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