What are the hardware requirements for Nemotron 3 Hummingbird?

Nemotron 3 Hummingbird requires approximately 49 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 3 Hummingbird and how large is it?

Nemotron 3 Hummingbird is developed by glyd, a model with 120b 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 3 Hummingbird?

Nemotron 3 Hummingbird is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron 3 Hummingbird by glyd — VRAM 49GB, 256K context

Name: Nemotron 3 Hummingbird
Author: glyd

Nemotron 3 Hummingbird is an open-source language model by glyd. Features: 120b LLM, VRAM: 49GB, Context: 256K, License: other, LLM Explorer Score: 0.3.

8-bit Base model:nvidia/nvidia-nemot... Base model:quantized:nvidia/nv... Conversational Custom code Glyd Hummingbird Lossy Nemotron Nemotron h Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/glyd/nemotron-3-hummingbird

Nemotron 3 Hummingbird Parameters and Internals

LLM Name	Nemotron 3 Hummingbird
Repository 🤗	https://huggingface.co/glyd/nemotron-3-hummingbird
Base Model(s)	...emotron 3 Super 120B A12B BF16 nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16
Model Size	120b
Required VRAM	49 GB
Updated	2026-10-14
Maintainer	glyd
Model Type	nemotron_h
Model Files	5.4 GB: 1-of-10 5.4 GB: 2-of-10 5.4 GB: 3-of-10 5.4 GB: 4-of-10 5.4 GB: 5-of-10 5.4 GB: 6-of-10 5.4 GB: 7-of-10 5.4 GB: 8-of-10 5.4 GB: 9-of-10 0.4 GB: 10-of-10
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	131072

Rank the Nemotron 3 Hummingbird 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 3 Hummingbird

Best Alternatives	Context / RAM	Downloads	Likes
...on 3 Super 120B A12B Base BF16	1024K / 209.5 GB	13053	32
...motron 3 Super 120B A12B NVFP4	256K / 80.3 GB	3041935	408
...motron 3 Super 120B A12B NVFP4	256K / 80.3 GB	1132	27
...emotron 3 Super 120B A12B BF16	256K / 194.6 GB	864394	414
...DIA Nemotron 3 Super 120B A12B	256K / 214.5 GB	294	3
...Nemotron 3 Super 120B A12B FP8	256K / 128.4 GB	81	10
...Nemotron 3 Super 120B A12B FP8	256K / 128.4 GB	221272	269
...emotron 3 Super 120B A12B BF16	256K / 194.6 GB	144	1
... Super 64B A12B Math REAP BF16	256K / 128.6 GB	1814	1
Kenosistron Bf16	256K / 199.6 GB	29	0

Note: green Score (e.g. "73.2") means that the model is better than glyd/nemotron-3-hummingbird.