Qwen 3.8 27B is the model that packs the highest intelligence per size
It's fast, smart, and very good with agentic tasks
It can handle pretty much everything you throw at him
And it's also Free🤑 for a limited time in Nexus right now
⚡️Go squeeze every prompt from it! 🥵
a few minutes installing dappnode and you get a bunch of neat stuff packaged with it! UI, Tailscale/Wireguard for remote access, a UI for validator keys and a bunch of neat packages in the Dappstore!
Replying to @CryptoChrisG
Easy! Give OpenClaw or Hermes (both available in Dappnode) your problem and ask them to query you on what your preferences are, what would you like, etc.
If you use Nexus as the model provider, you keep your personal info private from any profiling company 🕵️
If some of the class info is in PDF, feed it to it, if it's behind password... again, feel free to give it your account details because... the filesystem is yours and only yours and the model provider can't read your password!
Replying to @CryptoChrisG
Upper class for you, ser.
Jk aside, wdym class selection?
If you are not running your own agent you are behind
"But it's too complicated"
In 1:47 seconds you can have it running on your Dappnode
Get your agent, fully private & self-sovereign
Comment 👇which thing you'd die to automate in your life and we'll make a video of how
Dappnode retweeted
I almost missed the IMHO most catastrophic @ledger vulnerability:
h/t @Fatalmeh who brought it onto my feed
That assistant runs on Nexus (nexus.dappnode.com): private AI inference with TEE-attested models with proofs.
We built Nexus so if your hardware isn't able to run able models, you can have the next best thing: cryptographically verifiable private inference.
First, thank you also to all the matching fund providers. Matching came from @TheDAOfund @quantstamp @wintermute_t @osec_io @Certora @sigp_io @CertiK @chain_security. Security teams funding security 🤝
Dappnode retweeted
kinda crazy my @dappnode video from 2023 is still one of my top performers on youtube
youtu.be/VR_aZXtX3r4?si=2wlT…
Replying to @haochizzle
Maybe you should do one on how to run Agents on Dappnode now!
Dappnode retweeted
The guys from @exolabs , which we have used extensively in @dappnode, dropped local.ai.
For virality, they let you claim your name already.
local.ai/lanski/invite
Testing on Dappnodes
Today, we're introducing Mach-1 Additive, a 35 billion parameter model that can inference without ever multiplying by a weight. At 1.7 bits per weight, Mach-1 recovers 95% of the performance of the original full precision model, Qwen 3.6 35b, across 12 agentic and reasoning benchmarks, while being 10x smaller.
At 7GB, Mach-1 comfortably fits on consumer laptops with speeds of up to 120 tokens per second, making local inference not just feasible but useful.
Unlike algorithms like BitNet, our approach requires minimal retraining, under 15 GPU hours, making it scalable to massive LLMs. Over the coming weeks, we will be announcing and serving models of up to 3 trillion parameters compressed using our algorithm. For now, you can visit our website to play with Mach-1 directly in your browser, or download our desktop app.
We couldn't be more excited to launch Mach-1. We're looking forward to an energy efficient future for AI, powered by scaled intelligence density.