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Llama 3.1 Nemotron 70B Instruct HF Bf16 by mlx-community

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  Autotrain compatible Base model:finetune:nvidia/lla... Base model:nvidia/llama-3.1-ne...   Conversational   Dataset:nvidia/helpsteer2   En   Instruct   Llama   Llama3.1   Mlx   Nvidia   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.1-Nemotron-70B-Instruct-HF-bf16 

Llama 3.1 Nemotron 70B Instruct HF Bf16 Benchmarks

LLME Score: 0.20479
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3.1 Nemotron 70B Instruct HF Bf16 Parameters and Internals

LLM NameLlama 3.1 Nemotron 70B Instruct HF Bf16
Repository 🤗https://huggingface.co/mlx-community/Llama-3.1-Nemotron-70B-Instruct-HF-bf16 
Base Model(s)  nvidia/Llama-3.1-Nemotron-70B-Instruct-HF   nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
Model Size70b
Required VRAM140.2 GB
Updated2025-06-09
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-28   5.1 GB: 2-of-28   5.1 GB: 3-of-28   5.1 GB: 4-of-28   5.1 GB: 5-of-28   5.1 GB: 6-of-28   5.1 GB: 7-of-28   5.1 GB: 8-of-28   5.1 GB: 9-of-28   5.1 GB: 10-of-28   5.1 GB: 11-of-28   5.1 GB: 12-of-28   5.1 GB: 13-of-28   5.1 GB: 14-of-28   5.1 GB: 15-of-28   5.1 GB: 16-of-28   5.1 GB: 17-of-28   5.1 GB: 18-of-28   5.1 GB: 19-of-28   5.1 GB: 20-of-28   5.1 GB: 21-of-28   5.1 GB: 22-of-28   5.1 GB: 23-of-28   5.1 GB: 24-of-28   5.1 GB: 25-of-28   5.1 GB: 26-of-28   5.1 GB: 27-of-28   2.6 GB: 28-of-28
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3.1 Nemotron 70B Instruct HF Bf16 (mlx-community/Llama-3.1-Nemotron-70B-Instruct-HF-bf16)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3.1-Nemotron-70B-Instruct-HF-bf16.

Rank the Llama 3.1 Nemotron 70B Instruct HF Bf16 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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