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Rombos LLM V2.6 Nemotron 70B by rombodawg

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  Merged Model   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Nemotron-70b 

Rombos LLM V2.6 Nemotron 70B Benchmarks

MMLU Pro: 48.1
GPQA: 20.81
MUSR: 18.39
BBH: 55.81
IFEval: 75.27 vs 88 (so35)-14.5%
MATH Lvl 5: 33.31
LLME Score: 0.37936
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rombos LLM V2.6 Nemotron 70B (rombodawg/Rombos-LLM-V2.6-Nemotron-70b)

Rombos LLM V2.6 Nemotron 70B Parameters and Internals

Training Details 
Methodology:
last step of continuous finetuning
LLM NameRombos LLM V2.6 Nemotron 70B
Repository 🤗https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Nemotron-70b 
Merged ModelYes
Model Size70b
Required VRAM141.9 GB
Updated2025-02-22
Maintainerrombodawg
Model Typellama
Model Files  4.7 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.0 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Rombos LLM V2.6 Nemotron 70B 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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