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Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit by mlx-community

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  4-bit   4bit   Autotrain compatible Base model:nvidia/llama-3.1-ne... Base model:quantized:nvidia/ll...   Conversational   Dataset:nvidia/helpsteer2   En   Instruct   Llama   Llama3.1   Mlx   Nvidia   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit 

Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit Benchmarks

LLME Score: 0.20067
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit (mlx-community/nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit)
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Nvidia Llama 3.1 Nemotron 70B Instruct HF 4bit Parameters and Internals

LLM NameNvidia Llama 3.1 Nemotron 70B Instruct HF 4bit
Repository 🤗https://huggingface.co/mlx-community/nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit 
Base Model(s)  nvidia/Llama-3.1-Nemotron-70B-Instruct-HF   nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
Model Size70b
Required VRAM39.7 GB
Updated2025-10-17
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.3 GB: 1-of-8   5.3 GB: 2-of-8   5.3 GB: 3-of-8   5.3 GB: 4-of-8   5.3 GB: 5-of-8   5.3 GB: 6-of-8   5.3 GB: 7-of-8   2.6 GB: 8-of-8
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Release v20241124
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