What are the hardware requirements for Nemotron Cascade 14B Thinking?

Nemotron Cascade 14B Thinking requires approximately 29.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nemotron Cascade 14B Thinking and how large is it?

Nemotron Cascade 14B Thinking is developed by nvidia, a model with 14b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Nemotron Cascade 14B Thinking perform on standard benchmarks?

Nemotron Cascade 14B Thinking has the following published scores: LMSYS ELO 1273. Compare against reference models on this page or on the LLM Explorer leaderboards.

Nemotron Cascade 14B Thinking by nvidia — VRAM 29.6GB, 32K context

Name: Nemotron Cascade 14B Thinking
Author: nvidia

Nemotron Cascade 14B Thinking is an open-source language model by nvidia. Features: 14b LLM, VRAM: 29.6GB, Context: 32K, License: other, LLM Explorer Score: 0.37, ELO: 1273.

Arxiv:2309.00071 Arxiv:2512.13607 Conversational En Endpoints compatible General-purpose Nemotron-cascade Nvidia Pytorch Qwen3 Reasoning Region:us Rl Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-Cascade-14B-Thinking

Nemotron Cascade 14B Thinking Benchmarks

LMSys ELO 1273 vs 1272 (so35) 0.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Nemotron Cascade 14B Thinking Parameters and Internals

LLM Name	Nemotron Cascade 14B Thinking
Repository 🤗	https://huggingface.co/nvidia/Nemotron-Cascade-14B-Thinking
Model Size	14b
Required VRAM	29.6 GB
Updated	2026-08-01
Maintainer	nvidia
Model Type	qwen3
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 4.8 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Nemotron Cascade 14B Thinking 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

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