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mradermacher/Orbit-3-Nano-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: < quants: x f16 Q4 K S Q2 K Q8 0 Q6 K Q3 K M Q3 K S Q3 K L Q4…

transformersgguftext-generationindonesianlfm2.5liquidfine-tunedsftinstruction-tuningreasoningidendataset:OpenPathAI/alpaca-gpt4-indonesian-cleaneddataset:biznetgio/oasst2-indonesiabase_model:OpenPathAI/Orbit-3-Nanobase_model:quantized:OpenPathAI/Orbit-3-Nanolicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~1.02 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation

Repository Files & Downloads

12 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Orbit-3-Nano.IQ4_XS.ggufGGUFGGUF1.42 GBDownload
Orbit-3-Nano.Q2_K.ggufGGUFGGUF1.02 GBDownload
Orbit-3-Nano.Q3_K_L.ggufGGUFGGUF1.35 GBDownload
Orbit-3-Nano.Q3_K_M.ggufGGUFGGUF1.27 GBDownload
Orbit-3-Nano.Q3_K_S.ggufGGUFGGUF1.18 GBDownload
Orbit-3-Nano.Q4_K_M.ggufGGUFGGUF1.56 GBDownload
Orbit-3-Nano.Q4_K_S.ggufGGUFGGUF1.49 GBDownload
Orbit-3-Nano.Q5_K_M.ggufGGUFGGUF1.81 GBDownload
Orbit-3-Nano.Q5_K_S.ggufGGUFGGUF1.77 GBDownload
Orbit-3-Nano.Q6_K.ggufGGUFGGUF2.07 GBDownload
Orbit-3-Nano.Q8_0.ggufGGUFGGUF2.68 GBDownload
Orbit-3-Nano.f16.ggufGGUFGGUF5.03 GBDownload

Model Details

Model IDmradermacher/Orbit-3-Nano-GGUF
Authormradermacher
Pipelinetext-generation
Licenseapache-2.0
Base modelOpenPathAI/Orbit-3-Nano
Last modified2026-10-12T04:49:29.000Z

Model README

---

base_model: OpenPathAI/Orbit-3-Nano

datasets:

  • OpenPathAI/alpaca-gpt4-indonesian-cleaned
  • biznetgio/oasst2-indonesia

language:

  • id
  • en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • text-generation
  • indonesian
  • lfm2.5
  • liquid
  • fine-tuned
  • sft
  • instruction-tuning
  • reasoning

---

About

<!-- ### quantize_version: 2 -->

<!-- ### output_tensor_quantised: 1 -->

<!-- ### convert_type: hf -->

<!-- ### vocab_type: -->

<!-- ### tags: -->

<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->

<!-- ### quants_skip: -->

<!-- ### skip_mmproj: -->

static quants of https://huggingface.co/OpenPathAI/Orbit-3-Nano

<!-- provided-files -->

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 | 1.2 | |

| GGUF | Q3_K_S | 1.4 | |

| GGUF | Q3_K_M | 1.5 | lower quality |

| GGUF | Q3_K_L | 1.6 | |

| GGUF | IQ4_XS | 1.6 | |

| GGUF | Q4_K_S | 1.7 | fast, recommended |

| GGUF | Q4_K_M | 1.8 | fast, recommended |

| GGUF | Q5_K_S | 2.0 | |

| GGUF | Q5_K_M | 2.0 | |

| GGUF | Q6_K | 2.3 | very good quality |

| GGUF | Q8_0 | 3.0 | fast, best quality |

| GGUF | f16 | 5.5 | 16 bpw, overkill |

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.

<!-- end -->

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