mradermacher/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16-GGUF overview

---

base_model: nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16

datasets:

• nvidia/nemotron-pre-training-datasets

language:

• en
• es
• fr
• de
• it
• ja

library_name: transformers

license: other

license_link: https://openmdw.ai/license/1-1/

license_name: openmdw-1.1

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• nvidia
• pytorch
• nemotron-3.5
• mtp

---

About

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static quants of https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16

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For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's

READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for

more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

|:-----|:-----|--------:|:------|

| GGUF | Q2_K | 18.8 | |

| GGUF | Q3_K_S | 18.8 | |

| GGUF | IQ4_XS | 19.1 | |

| GGUF | Q3_K_M | 20.8 | lower quality |

| GGUF | Q3_K_L | 21.7 | |

| GGUF | Q4_K_S | 22.9 | fast, recommended |

| GGUF | Q5_K_S | 24.9 | |

| GGUF | Q4_K_M | 25.5 | fast, recommended |

| GGUF | Q5_K_M | 27.1 | |

| GGUF | Q6_K | 35.0 | very good quality |

| GGUF | Q8_0 | 35.1 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time.

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