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BigMoeOnEdge

v0.5.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 12d LLM Frameworks
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

android c++ edge-ai gemma gguf gpt-oss
+7 more
inference llama-cpp llm mixture-of-experts moe on-device-ai qwen

Summary

AI summary

CPU temperature telemetry now reads from kernel thermal zones with richer live metrics.

Changes in this release

Feature Medium

CPU temperature now sourced from kernel thermal zones, falling back to battery temp if unreadable.

CPU temperature now sourced from kernel thermal zones, falling back to battery temp if unreadable.

Source: llm_adapter@2026-07-19

Confidence: high

Feature Medium

Richer live telemetry includes prefill rate, time-to-first-token, streamed MB, cache footprint, and temperature.

Richer live telemetry includes prefill rate, time-to-first-token, streamed MB, cache footprint, and temperature.

Source: llm_adapter@2026-07-19

Confidence: high

Full changelog

Android demo — richer telemetry & CPU temperature

  • CPU temperature during generation now comes from the kernel thermal zones (/sys/class/thermal), which track compute load directly, instead of the battery pack (which lags and reflects charging). Best-effort, no permission, falls back to battery temp if no CPU zone is readable. (#18)
  • Richer live telemetry: prefill rate, time-to-first-token, streamed MB, cache footprint, temperature.
  • gpt-oss-120b on-device streaming benchmarks + drivers.

App version: versionName 0.5.0 (versionCode 6).

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