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txgsync/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-oQ4e-mtp
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-oQ4e-mtp is a machine learning model from txgsync. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as other.
An oMLX/oQe mixed-precision MLX conversion of NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16, with the embedded Lightning MTP head preserved.
Downloads · 30 days
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.safetensors21.8 GB · 100%
How the weights are stored.
U3231.1B · 94%
From the Hugging Face model README
An oMLX/oQe mixed-precision MLX conversion of NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16, with the embedded Lightning MTP head preserved.
This is an unofficial community conversion. It is intended for Apple Silicon systems using oMLX / MLX-compatible loaders.
lm_head uses 8-bit precisionThe following important tensors remain full precision (BF16/F32):
The included oq_imatrix_report.json records the calibration coverage and
which tensors received imatrix weighting.
The model keeps num_nextn_predict_layers: 1 and the mtp.* weights. This
means the embedded Lightning MTP speculative-decoding path remains available
when MTP is enabled by the serving runtime. The MTP head is deliberately kept
at BF16/F32 to protect draft acceptance.
Point oMLX at the directory containing this model and enable the model's MTP setting in the oMLX model configuration. The artifact uses standard MLX safetensors and does not require a custom quantized-weight loader.
The base model is distributed under the OpenMDW License Agreement, version 1.1. Please review the license and NVIDIA's original model card before using or redistributing this derivative model.