On Device LLM is a local-first AI workbench for your iPhone. Open-source language and vision models run entirely on-device via Apple's MLX framework — no servers, no API keys, no telemetry, no accounts.
LIVE CAMERA CAPTION
Point your camera at anything. SmolVLM describes the scene every few seconds, streaming the caption right onto the viewfinder. Tune the refresh interval from 500ms to 30s. Tap the refresh icon for an on-demand caption between cycles.
VOICE CONVERSATION
Hands-free chat with an on-device LLM. Industry-standard voice activity detection ignores TV chatter and background noise; speaks back through the same audio session it's listening on — no clipped first words, no delayed replies.
CODE ASSISTANT
Pick from Qwen 2.5 Coder, Llama 3.2, Phi-3.5, Gemma 2, Qwen3 and dozens of MLX-converted models on HuggingFace. The app auto-selects a model that fits your device's RAM (1.5B on older iPhones, up to 7B on Pro Max). Streamed token-by-token output, code-block syntax highlighting, conversation export to Markdown.
POWER TOOLS
• Document scanner — capture multi-page code via the native four-corner doc cam
• Live OCR — text on a screen, sign, or whiteboard recognized in real time
• A/B compare — run two models side-by-side and watch the speed/quality tradeoff
• Benchmark — measure tokens per second, time to first token, peak memory, thermal impact
• Macros — chain prompts together (lint → refactor → test)
用户评价
立即分享产品体验
你的真实体验,为其他用户提供宝贵参考
💎 分享获得宝石
【分享体验 · 获得宝石 · 增加抽奖机会】
将你的产品体验分享给更多人,获得更多宝石奖励!
💎 宝石奖励
每当有用户点击你分享的体验链接并点赞"对我有用",你将获得:
🔗 如何分享
复制下方专属链接,分享到社交媒体、群聊或好友:
💡 小贴士
分享时可以添加你的个人推荐语,让更多人了解这款产品的优点!
示例分享文案:
"推荐一款我最近体验过的应用,界面设计很精美,功能也很实用。有兴趣的朋友可以看看我的详细体验评价~"
关注 Mergeek 公众号
领奖遇到问题?联系小门助手