Analyse de l'application LM Playground pour le 3 mai

LM Playground lets you run large language models directly on your Android device. Download models, load them in one tap, and chat — all offline, all private. No cloud servers, no API keys, no data leaving your device. KEY FEATURES On-device inference — all processing happens locally on your device. Your conversations stay private and never leave your phone. Chat history — all your conversations are saved and organized. Pin, rename, or delete sessions from the sidebar. Resume any conversation right where you left off. Rich chat experience — responses are rendered with full markdown support including headers, code blocks, lists, bold, italic, and more. Reasoning models — see the thinking process of models like DeepSeek R1, Nemotron, and LFM2.5 Thinking displayed in a styled, collapsible section with adjustable thinking budget. Generation speed tracking — see token count, generation time, and tok/s speed for every response. Per-model parameters — each model remembers its own generation settings. Fine-tune context size, thinking budget, temperature, Top-P, Top-K, Min-P, repetition penalty, and seed. System prompts — save reusable instructions once and pick the right one for any model. Keep tone, role, or output format consistent across sessions. Custom models — load your own GGUF model files from any source alongside the built-in catalog. Reliable downloads — custom download engine with progress notifications, speed and ETA display, and automatic resume on network interruptions. Flexible storage — choose where to store multi-GB model files using Android's Storage Access Framework. Easily move models between locations. Optimized performance — ARM-optimized with KleidiAI kernels and OpenMP for faster generation on arm64 devices. SUPPORTED MODELS • Qwen 3.5 (0.8B, 2B, 4B) — Alibaba • Gemma 4 (E2B, E4B) — Google • Nemotron 3 Nano (4B) — NVIDIA • Granite 4.0 (Micro, H-Tiny) — IBM • DeepSeek R1 Distill (1.5B, 7B) — DeepSeek • Phi-4 mini (3.8B) — Microsoft • LFM2.5 (350M, 1.2B Thinking) — Liquid AI • Ministral 3 (3B, 8B — Instruct & Reasoning) — Mistral • Llama 3.2 (1B, 3B) — Meta Starting from just 267 MB for the smallest model. Larger models (4B–8B) benefit from 8+ GB RAM. You can also load any custom GGUF model. OPEN SOURCE LM Playground is open source under the MIT License. Powered by llama.cpp with models from Hugging Face.