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Llama-3.1-Nemotron-70B-Instruct-HF-8bit

mlx-community/Llama-3.1-Nemotron-70B-Instruct-HF-8bit
Text generation · transformers
8-bit Open on Hugging Face
Parameters
71B
Weights (est.)
≈ 75.0 GB
Mac memory (est.)
96 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/Llama-3.1-Nemotron-70B-Instruct-HF-8bit --prompt "Hello"

Details

Base model
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF (quantized) · Llama 3.1 Nemotron 70B Instruct HF on the radar →
Vendor
NVIDIA
Task
Text generation
Quantisation
8-bit
Licence
llama3.1
Downloads
160 in the last 30 days · 8.3K all time · 1 likes
Published
2024-10-16 · updated 2024-10-17 (2y ago)
Languages
en
Tags
llama, nvidia, llama3.1

Other MLX builds of nvidia/Llama-3.1-Nemotron-70B-Instruct-HF

Build Quantisation Weights Mac memory Downloads
nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit 4-bit ≈ 39.7 GB 48 GB+ 1.2K
Llama-3.1-Nemotron-70B-Instruct-HF-4bit 4-bit ≈ 39.7 GB 48 GB+ 163
Llama-3.1-Nemotron-70B-Instruct-HF-8bit (this one) 8-bit ≈ 75.0 GB 96 GB+ 160
Llama-3.1-Nemotron-70B-Instruct-HF-bf16 bf16 ≈ 141 GB 192 GB+ 250
Llama-3.1-Nemotron-70B-Instruct-HF — ≈ 141 GB 192 GB+ 131