alphaZimuth/Hy-MT2-30B-A3B-APEX-GGUF
translation model by alphaZimuth
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Model card & documentation
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GGUF quantizations of Tencent Hy-MT2-30B-A3B using APEX quantization. This repository provides three APEX quantization variants optimized for different deployment scenarios, quantized by alphaZimuth. Initial APEX quantization release. Fixed hyv3 architecture compatibility issue and added support for upstream llama.cpp b9993+. Added APEX-I series with importance matrix calibration. Added Nano variant for lower memory devices. Renamed the quantization files for a cleaner and more consistent naming scheme. The APEX-I series is the recommended version of this repository. Compared with the original APEX quantizations, these models were calibrated with an importance matrix (imatrix.dat) generated from a multilingual translation-focused calibration dataset. The calibration process achieved: PPL = 2.1519 +/- 0.00207 In practical testing, the Imatrix-calibrated versions consistently provide better translation quality and output stability compared with the non-calibrated versions. The evaluation was conducted through parallel translation comparisons using the same test samples, with both calibrated and non-calibrated versions compared side by side. Several advanced…
Read the full model card ↗ · Preview checked 2026-10-27T15:24:32.989Z
Inside the original model card — Document outline
- Hy-MT2-30B-A3B-APEX-GGUF
- Changelog
- Recommended Versions
- Available Quantizations
- Recommended: APEX-I Series
- Legacy: Original APEX Series
- Quantization Details
- llama.cpp Compatibility
- Important
- Usage
- Benchmark
- Test Environment
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Model overview
alphaZimuth/Hy-MT2-30B-A3B-APEX-GGUF is a translation model repository published by alphaZimuth on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- translation
- Library
- Not reported
- Recent downloads (30 days)
- 7,687
- Cumulative likes
- 14
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-07-13T02:05:33.000Z
- Last modified
- 2026-09-11T15:24:17.000Z
Compatibility and lineage
Reported languages: zh, en, fr, pt, es, ja, tr, ru, ar, ko, th, it, de, vi, ms, id, tl, hi, pl, cs, nl, km, my, fa, gu, ur, te, mr, he, bn, ta, uk, bo, kk, mn, ug
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-24T06:39:31.547Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.