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nile-academy/nemotron-dory1.0-4b-gguf overview

nemotron dory1.0 4b gguf Consumer supplied Wekala model library assets derived from the attributed official publisher. Models and this repository are distribut…

ggufwekalatext-generationbase_model:nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16base_model:quantized:nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16license:otherendpoints_compatibleregion:usconversational

Runs locally from ~3.42 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
NVIDIA-Nemotron-Labs-Dory1.0-4B-Q5_K_M.ggufGGUFQ5_K_M3.42 GBDownload

Model Details

Model IDnile-academy/nemotron-dory1.0-4b-gguf
Authornile-academy
Pipelinetext-generation
Licenseother
Base modelnvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16
Last modified2026-10-19T23:21:15.000Z

Model README

---

license: other

license_name: openmdw-1.1

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

base_model:

  • nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16

base_model_relation: quantized

library_name: gguf

pipeline_tag: text-generation

tags:

  • wekala
  • gguf

---

nemotron-dory1.0-4b-gguf

Consumer-supplied Wekala model-library assets derived from the attributed official publisher. Models and this repository are distributed separately from the Wekala SDK.

Origin and licence

| Field | Value |

| --- | --- |

| Original developer | NVIDIA Corporation |

| Original model | nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 |

| Pinned source revision | b366b87f762ea334ba3eb55912031baba1515810 |

| Original publication | 2026-10-16 (day) |

| Date evidence | Publisher source |

| Licence | openmdw-1.1; preserved in LICENSE |

| Full source parameters | 3,975,229,440 (includes embeddings and source modalities) |

| Nile Academy role | Official artifact mirror or explicitly recorded format conversion; no additional training |

Original publisher cards and available notices are preserved in provenance/. The original model licence governs the weights; this repository grants no rights to the Wekala SDK.

Files and quantization

Official NVIDIA Q5_K_M, mirrored unchanged. Looped inference needs compatible compiled engine support; published source scores do not qualify this quantization.

| File | Quantization | Size (GB) | Origin |

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

| NVIDIA-Nemotron-Labs-Dory1.0-4B-Q5_K_M.gguf | Q5_K_M | 3.673 | official publisher export |

Exact file SHA-256 values, upstream paths/revisions and conversion receipts are recorded in model-metadata.json.

Published benchmarks

Publisher-reported source-model scores follow. They are not Wekala measurements of these quantized files. Harness, precision, reasoning settings and task versions differ; do not treat them as a normalized cross-model ranking.

| Benchmark | Score (%) | Mode / settings |

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

| GPQA Diamond | 72.41 | 2 loops; Publisher source protocol; not normalized across models or measured on this quantization. |

| SWE-bench Verified | 59.5 | 2 loops; publisher harness; Publisher source protocol; not normalized across models or measured on this quantization. |

| Terminal-Bench 2.1 | 18.1 | 2 loops; publisher harness; Publisher source protocol; not normalized across models or measured on this quantization. |

Exact source card.

Qualification and use

Downloadable declarative asset. Wekala native chat/tool/template, sustained GPU fit and mobile/browser qualification are pending; no automatic backend installation.

Wekala broad quantization-quality qualification: not qualified. No general “no significant quality loss” claim is made. Official QAT or publisher comparisons are attributed separately. Before recommendation, use paired reference/variant evaluation across instruction, knowledge, math, multilingual/Arabic and tool tasks under the registered Wekala campaign.

Device fit is separate: weight size excludes context state, scratch buffers and driver headroom. CPU and CUDA are execution backends for the same weight file, not separate models. Mobile/browser and sustained 8GB-VRAM operation require their own measured profiles.

Models can produce incorrect or unsafe outputs. Tool calls are proposals subject to the consuming application’s permissions and controller admission.

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