---

license: apache-2.0

base_model:

• google/gemma-4-E2B-it

base_model_relation: quantized

library_name: gguf

pipeline_tag: text-generation

tags:

• wekala
• gguf

---

gemma-4-e2b-it-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 | Google DeepMind |

| Original model | google/gemma-4-E2B-it |

| Pinned source revision | 3e22461f65e89153144f8adb70e3b8c2cc9845a7 |

| Original publication | 2026-04-02 (day) |

| Date evidence | Publisher source |

| Licence | apache-2.0; preserved in LICENSE |

| Full source parameters | 5,123,178,051 (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 Google QAT Q4_0 GGUF, mirrored unchanged. Google reports near-BF16 quality; base-model scores below are not independent measurements of this QAT artifact.

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

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

| gemma-4-E2B-it-mmproj.gguf | BF16 PROJECTOR | 0.987 | official publisher export |

| gemma-4-E2B_q4_0-it.gguf | Q4_0 | 3.350 | 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 |

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

| MMLU-Pro | 60 | publisher-default; Publisher source protocol; not normalized across models or measured on this quantization. |

| GPQA Diamond | 43.4 | publisher-default; Publisher source protocol; not normalized across models or measured on this quantization. |

| AIME 2026 (no tools) | 37.5 | publisher-default; Publisher source protocol; not normalized across models or measured on this quantization. |

| LiveCodeBench v6 | 44 | publisher-default; 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.