AMEVA-Runtime (Python)
Next-Gen Unified On-Device Hardware Orchestration & 6-Modality AI Acceleration Runtime (with BitNet 1.58-bit Vulkan Compute) for Mobile & Edge
Installation
pip install ameva-runtime
Quickstart
import ameva_runtime as ameva
from ameva_runtime import vulkan
# Inspect hardware
profile = ameva.detect_hardware()
print(f"Target: {profile.soc_name} | {profile.gpu_vendor}")
# Run diagnostics
doc = vulkan.Doctor()
report = doc.run_self_test()
print(f"Passed: {report.passed_stages}/{report.total_stages}")
Empirical Benchmarks
- Galaxy S25 (Adreno 830):
- BitNet 1.58-bit LLM: 17.558 t/s (12.58x speedup), Prompt Eval 205.9 ms.
- Qwen2.5-0.5B LLM: 35.80 t/s (25/25 VRAM layers).
- Whisper STT: 4,401 ms, TTS: RTF 0.264x (medium) / 0.993x (high-fp16).
- Galaxy A35 (Mali-G68 MP5):
- BitNet 1.58-bit LLM: 3.471 t/s (5.94x speedup), Prompt Eval 1,552.8 ms.
- Qwen2.5-0.5B LLM: 4.44 t/s (+26.9% vs NEON).
- Whisper STT: 360.60s (2.26x speedup), TTS: RTF 1.146x.
Documentation
License
Apache-2.0 License. Copyright (c) 2026 Eunho Kim (@uno-km).
1 maintainer
Release files for ameva-runtime 2.6.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ameva_runtime-2.6.3.tar.gz | 83.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ameva_runtime-2.6.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 176.9 kB
Release files / ameva_runtime-2.6.3.tar.gz
| Download URL | ameva_runtime-2.6.3.tar.gz |
|---|---|
| Size | 83.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / ameva_runtime-2.6.3-py3-none-any.whl
| Download URL | ameva_runtime-2.6.3-py3-none-any.whl |
|---|---|
| Size | 93.2 kB |
| Tags | Python 3 |
|
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