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AceReason-Nemotron-14B-4bit

mlx-community/AceReason-Nemotron-14B-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
15B
Weights (est.)
≈ 8.3 GB
Mac memory (est.)
16 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/AceReason-Nemotron-14B-4bit --prompt "Hello"

Details

Base model
nvidia/AceReason-Nemotron-14B (quantized)
Vendor
NVIDIA
Task
Text generation
Quantisation
4-bit
Licence
nvidia-open-model-license
Downloads
57 in the last 30 days · 569 all time · 0 likes
Published
2025-05-24 · updated 2025-05-24 (1y ago)
Languages
en
Tags
qwen2, nvidia, reasoning, math, code, reinforcement learning, pytorch, mlx-my-repo

Other MLX builds of nvidia/AceReason-Nemotron-14B

Build Quantisation Weights Mac memory Downloads
AceReason-Nemotron-14B-4bit (this one) 4-bit ≈ 8.3 GB 16 GB+ 57
AceReason-Nemotron-14B-8bit 8-bit ≈ 15.7 GB 24 GB+ 51
AceReason-Nemotron-14B-bf16 bf16 ≈ 29.5 GB 48 GB+ 42