Run fully local audio-to-text transcription with LFM2.5-Audio-1.5B and llama.cpp on your laptop
helloiamleonie · x · 2026-09-07
Liquid4All updated its open-source cookbook demo to run LFM2.5-Audio-1.5B with llama.cpp, enabling a 100% local audio-to-text transcription CLI that needs no internet or cloud services.
The example shows how llama.cpp efficiency plus a small 1.5B audio model enables real-time transcription on edge devices like smartphones, cars, and smart home gadgets. The repo includes a quick start and example scripts, and has 2.4k GitHub stars.
More from Infra
- M.2-Oculink eGPU Link Silently Downgrades to PCIe Gen1 — Here's How to Check — El_90 · 2026-09-11
- DeepSeek launches V4.1-Flash with 1M-token context and 4x smaller KV-cache — matlabulous · 2026-09-11
- What Can You Still Run on 8GB VRAM? User Asks for Small Models With Tool Use — riceinmybelly · 2026-09-11
- Spain's hourly 80% renewable matching rules clash as France fast-tracks 700MW sites, UK cuts grid queues — eherrerosj · 2026-09-11
- AI could add 0.3-0.4 points to Europe's productivity growth, but the EU holds under 5% of global compute — rohanpaul_ai · 2026-09-11
- Qualcomm's next-gen Hexagon NPU runs 30B MoE models with 32K context on-device — lee_stott · 2026-09-11