nile-academy/qwen3-4b-instruct-2507-gguf overview
qwen3 4b instruct 2507 gguf Historical model archive, superseded in the current Wekala catalogue. Retained for provenance and existing consumers; not offered f…
Runs locally from ~2.33 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3-4B-Instruct-2507-Q4_K_M.gguf | GGUF | Q4_K_M | 2.33 GB | Download |
Model Details
| Model ID | nile-academy/qwen3-4b-instruct-2507-gguf |
|---|---|
| Author | nile-academy |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | Qwen/Qwen3-4B-Instruct-2507 |
| Last modified | 2026-10-19T23:21:23.000Z |
Model README
---
license: apache-2.0
base_model:
- Qwen/Qwen3-4B-Instruct-2507
base_model_relation: quantized
library_name: gguf
pipeline_tag: text-generation
tags:
- wekala
- gguf
---
qwen3-4b-instruct-2507-gguf
Historical model archive, superseded in the current Wekala catalogue. Retained for provenance and existing consumers; not offered for new playground selection.
Origin and licence
| Field | Value |
| --- | --- |
| Original developer | Qwen Team, Alibaba Cloud |
| Original model | Qwen/Qwen3-4B-Instruct-2507 |
| Pinned source revision | cdbee75f17c01a7cc42f958dc650907174af0554 |
| Original publication | 2025-08-06 (day) |
| Date evidence | Publisher source |
| Licence | apache-2.0; preserved in LICENSE |
| Full source parameters | 4,022,468,096 (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
Retired from new Wekala selection. Historical Q4_K_M conversion and original evidence are preserved; no broad quality claim.
| File | Quantization | Size (GB) | Origin |
| --- | --- | ---: | --- |
| Qwen3-4B-Instruct-2507-Q4_K_M.gguf | Q4_K_M | 2.497 | existing Nile conversion; original lineage retained |
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 | 69.6 | non-thinking; Publisher original source protocol; not a Wekala quantization measurement. |
| GPQA (subset unspecified) | 62 | non-thinking; Publisher original source protocol; not a Wekala quantization measurement. |
| BFCL-v3 | 61.9 | non-thinking; Publisher original source protocol; not a Wekala quantization measurement. |
| IFEval | 83.4 | non-thinking; Publisher original source protocol; not a Wekala quantization measurement. |
Qualification and use
Historical compatibility archive only. Not included in the current model download or chat selector.
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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