Enclave AI

@Aicurato All local features are completely free. The subscription is only for cloud models since those bring inference and infrastructure costs. If you hit the paywall while using local models lets me know, that should not be the case.

@enclave_ai fYI: The point of local AI is not only privacy but also avoiding to pay a subscription. I think you missed this point.

Enclave 1.70 is out 🧠 Your local model can now think — full chain-of-thought UI for DeepSeek R1, Qwen3 and more. Tap to see every reasoning step. Also: live tokens/sec metrics and LiquidAI LFM 2.5 as the new built-in brain. All on-device. All private.

@RUNCOMPS Love hearing this! Local TTS like Kokoro is absolutely on the radar — running voice fully on-device with no cloud at all is the dream. No promises on timeline but it's exactly the direction we want to go.

This app is awesome! I tell everyone about it Have you thought about integrating more TTS support like a TTS model switcher? I'd love to see Kokoro in there. Remember the hype over Sesame? If you can link a emotive, near-realtime voice to this, I think it would explode in popularity

A local LLM can act as your offline brainstorming partner for design ideas. It helps refine your concepts while keeping every sketch, note, and iteration private on your device.

@barrelltech @MistralAI Yep! Enclave lets you try any GGUF model from HuggingFace. For iPhone, best to stick to <2B params to keep things fast and smooth. Ministral 3B can work but you might feel it — Qwen2.5 0.5B or 1.5B are great starting points for on-device.

Has anyone gotten a ministral model to work on @enclave_ai? I don’t know enough about this local model Space, but I would love to get an offline @MistralAI model running!

@huggingface Programs like this are what makes the open AI ecosystem actually work. The gap between "model exists on HF" and "someone runs it locally on their device" is still huge -- community builders who help close that gap are invaluable.

Seeing the worldwide demand we are kicking off global applications for Hugging Face Builders! If you're passionate about open AI and love bringing people together, this is your invitation to lead ✉️ Learn more about the program and apply to become a Builder ➡️

@Prince_Canuma Love seeing the MLX community grow like this. Local video generation on Apple Silicon is such an underexplored space -- excited to see what Norbert builds with MLX-Video. The fact that this all runs without a cloud GPU is the future.

Huge congratulations to Norbert — winner of last month's MLX-Community giveaway! 🎉 He scored a desktop case and secure AM5 mount to level up his setup. Super excited to see him continue his incredible work on local movie generation using MLX-Video, build is CUDA machine and take MLX-CUDA for a spin 🚀

@UnslothAI @nvidia @NVIDIAAIDev @NVIDIA_AI_PC Great collab. The GRPO section is especially interesting -- been curious how well RL-tuned models hold up after quantization for on-device deployment. Any plans to cover that angle?

We collaborated with @NVIDIA to teach you about Reinforcement Learning and RL environments. Learn: • Why RL environments matter + how to build them • When RL is better than SFT • GRPO and RL best practices • How verifiable rewards and RLVR work Blog: unsloth.ai/blog/rl-enviro…

@liquidai @xenovacom This is wild. Speed like this is what makes local VLMs actually usable -- no one's waiting 30 seconds for a response in a real workflow. Curious what the memory footprint looks like on consumer hardware?

a vision language model too fast for human eyes! kudos @xenovacom 🐐

Pair a local LLM with your RSS feeds to get daily digests written in your preferred style. It filters noise and highlights what matters, all without your reading habits being tracked by a third party.

Use a local LLM to quickly mock API responses during development. It generates realistic test data on your machine, speeding up prototyping without exposing your schema to external services.

Treat your prompts like code: keep a small eval suite and run it against a local LLM before you ship. Because you control the exact model and version, regressions show up immediately instead of being masked by changing APIs.

Set up a local LLM to act as a private tutor for learning a new language. You can practice conversation and grammar drills offline, ensuring your learning progress and mistakes stay strictly on your own hardware.

Use a local LLM to proofread and refine your holiday messages before sending. It catches awkward phrasing while keeping your personal greetings entirely on your device.

Build a local LLM pipeline to automatically generate commit messages from your diffs. It captures context without sending proprietary code anywhere, keeping your version history both descriptive and secure.

Use a local LLM to draft personalized cover letters tailored to each job application. Your career details and target companies stay private while you iterate on messaging that stands out.

Pipe command-line output directly into a local model to instantly decode cryptic error messages. This keeps your debugging workflow contained within the terminal and ensures sensitive server logs never leave your machine.

Use a local LLM to review sensitive contracts or legal drafts for potential inconsistencies. Since the analysis happens entirely on your machine, confidential terms never risk exposure. It’s a secure way to get a second opinion on important documents.

Generate complex SQL queries or regex patterns directly on your machine. This keeps your database schema private while you troubleshoot logic puzzles. It’s a secure way to get technical help without exposing infrastructure details.

Practice for upcoming interviews or negotiations by roleplaying with an offline language model. You get immediate feedback in a private setting, allowing you to refine your answers without pressure. It’s a safe way to prepare for sensitive discussions on your own terms.

Analyze your personal journal entries for mood trends or recurring themes using a local LLM. Processing this deeply personal data on your own hardware guarantees that your private reflections never leave your control.