What are the hardware requirements for Nemotron Cascade 2 30B A3B Mlx 6bit?

Nemotron Cascade 2 30B A3B Mlx 6bit requires approximately 27.6 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nemotron Cascade 2 30B A3B Mlx 6bit and how large is it?

Nemotron Cascade 2 30B A3B Mlx 6bit is developed by mlx-community, a model with 30b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Nemotron Cascade 2 30B A3B Mlx 6bit?

Nemotron Cascade 2 30B A3B Mlx 6bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron Cascade 2 30B A3B Mlx 6bit by mlx-community — VRAM 27.6GB, 256K context

Name: Nemotron Cascade 2 30B A3B Mlx 6bit
Author: mlx-community

Nemotron Cascade 2 30B A3B Mlx 6bit is an open-source language model by mlx-community. Features: 30b LLM, VRAM: 27.6GB, Context: 256K, License: other, Quantized, LLM Explorer Score: 0.23.

6-bit 6bit Base model:nvidia/nemotron-cas... Base model:quantized:nvidia/ne... Conversational Custom code En General-purpose Mlx Nemotron-cascade-2 Nemotron h Nvidia Quantized Reasoning Region:us Rl Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Nemotron-Cascade-2-30B-A3B-mlx-6bit

Nemotron Cascade 2 30B A3B Mlx 6bit Parameters and Internals

LLM Name	Nemotron Cascade 2 30B A3B Mlx 6bit
Repository 🤗	https://huggingface.co/mlx-community/Nemotron-Cascade-2-30B-A3B-mlx-6bit
Base Model(s)	Nemotron Cascade 2 30B A3B nvidia/Nemotron-Cascade-2-30B-A3B
Model Size	30b
Required VRAM	27.6 GB
Updated	2026-08-05
Maintainer	mlx-community
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-6 5.3 GB: 2-of-6 5.3 GB: 3-of-6 5.3 GB: 4-of-6 5.3 GB: 5-of-6 1.4 GB: 6-of-6
Supported Languages	en
Quantization Type	6bit
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.4
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Nemotron Cascade 2 30B A3B Mlx 6bit capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Nemotron Cascade 2 30B A3B Mlx 6bit

Best Alternatives	Context / RAM	Downloads	Likes
...motron 3 Nano 30B A3B MLX 4Bit	256K / 17.8 GB	205	1
...motron 3 Nano 30B A3B MLX 6Bit	256K / 25.8 GB	148	2
...ron 3.5 Lightning 30B A3B 4bit	256K / 17.8 GB	2504	4
...5 Lightning 30B A3B OptiQ 4bit	256K / 22.1 GB	416	2
...3.5 Lightning 30B A3B MLX 6bit	256K / 25.8 GB	182	1
...tron 3 Nano 30B A3B OptiQ 4bit	256K / 22.1 GB	644	2
...emotron Cascade 2 30B A3B 4bit	256K / 17.8 GB	843	19
...emotron Cascade 2 30B A3B 8bit	256K / 33.5 GB	279	8
...emotron Cascade 2 30B A3B 6bit	256K / 25.8 GB	271	6
...A Nemotron 3 Nano 30B A3B 4bit	256K / 17.8 GB	728	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Nemotron-Cascade-2-30B-A3B-mlx-6bit.