Upweights (@UpweightsAI) header
Upweights (@UpweightsAI) profile picture

Weights up. A pay-per-token API for small open models, built by one person. Not live yet, waitlist open!(and i am Guilherme34 from Team Mradermacher)

Joined June 2024
Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)Photo by Upweights (@UpweightsAI)
Have a fine-tune or small Hugging Face model you wish had an API? We’re building an independent pay-per-token service for open-weight LLMs. If the community backs it, we host it. Drop your models in the replies 👇 Waitlist: upweights.com
1
2
299
Upweights retweeted
Introducing Praxis-1, a new 27B MoE world action model from @runwayml, and Praxis-1 Fast (73ms median) - an optimized checkpoint from our research team. We’re proud to ship Day 0 support with DROID and YAM endpoints live today on the Reactor API.
10
20
6
119
9,724
Upweights retweeted
Dia 18 começamos nossos trabalhos em Vice City!!!
22
15
1
934
14,557
Upweights retweeted
Qwen4 is coming. Deeper knowledge. Richer world understanding. Stronger coding and agentic capabilities. Built for real-world tasks — from complex coding and knowledge work to front-end builds and professional software workflows. Qwen4-Max is now in preview on Alibaba’s Token Plan. You can also get early access to the new model on QwenWork, Qoder, Qwen APP, and QwenStudio. Put it to the test on a real problem. Show us what you build. 👀 Token Plan: qwencloud.com/pricing/token-…
909
1,493
1,038
12,183
1,196,809
Upweights retweeted
Put a Gemma-based model in a robot body. First thing it does: scan the room, spot the giant TV, and start a movie break. Awesome to see @NVIDIAAI build on Gemma 4 E4B, fitting live conversation, tool calls, animations, and a vision model onto a single 8GB Jetson!
42
56
3
663
43,185
Upweights retweeted
We're turning our lessons from defending OpenAI into practical tools for our customers. On Thursday, join us at Cyber at the Frontier, a live keynote, for our latest cyber announcements. Working with our frontier models, we've identified and resolved important vulnerabilities in our own code and infrastructure. That experience is informing the tools and playbooks we're building to help other security teams strengthen their defenses. @gdb shares what we've learned and why security teams should keep putting the latest models to work as capabilities improve. Tune in on November 12 at 10 a.m. PT: openai.com/cyber-at-the-fron…
462
147
114
2,167
405,920
Upweights retweeted
Starting today, our next frontier model Gemini 4 Carbon is rolling out to Google AI Ultra subscribers on desktop, mobile, and web at gemini.google It’s our strongest model, built to reason deeply through your most complex work: ✅ Get more thorough, reliable outputs on your toughest tasks ✅ Turn dense data and docs into polished presentations, spreadsheets, and ready-to-use reports with more precise analysis ✅ Create web apps, prototypes, and 3D scenes with stronger spatial understanding for 3D and UI design
Gemini 4 Carbon is now available. It’s our strongest model, built to dig deeper, handle long-horizon tasks, and multi-step reasoning. If Argon is great for complex tasks, Carbon is the model you bring in for your hardest problems.
225
197
100
2,408
236,662
Gemini 4 Carbon is here it's our strongest model with frontier performance in cybersecurity capabilities and long-horizon agentic workflows across complex knowledge work, software engineering, and scientific reasoning Gemini 4 Carbon is now live via the Gemini API and AI Studio for paid API and Google AI Ultra subscribers try it today: ai.studio/carbon
123
267
133
2,663
225,539
Introducing Steve: the World’s first AI CEO for fully Autonomous companies. Powered by World Models, Recursive Self Learning, a Policy Engine and a team of specialist AI agents, it runs your business end-to-end 🔥. Proof? Steve currently runs 3 businesses we acquired and they are all crushing it (numbers in thread 🧵) We’re now launching the Steve Startups Program of $2M to acquire 5 additional startups for Steve to automate. Join us in the Autonomous Enterprise revolution 🚀.
244
204
233
1,567
1,517,934
Upweights retweeted
Magnetic, visuotactile, piezoresistive. Three sensing principles that don't share a data format. One open model that speaks all three is a real piece of infrastructure.
What changes when robots can feel—not just see? 🤖✋ Meet LingBot-Touch, our open-source tactile foundation model towards dexterous manipulation, pretrained on nearly 5,000 hours of real tactile data. Through unified heterogeneous tactile modeling, LingBot-Touch supports transfer across sensors, dexterous hands, tasks, and action models. Watch it in action. 👇 #LingBot #EmbodiedAI #Robotics
13
1
100
22,525
Ever thought about building your own games? The Codex edition @modretro Chromatic is now on Supply Co. With the ModRetro Chromatic plugin in Codex, you can design levels, animate sprites, and playtest on your handheld. Speedrun checkout while Codex builds your ROM 😉
379
339
364
3,300
690,948
Upweights retweeted
New realtime AI voice, Sophon Realtime. Open source & Apache 2. github.com/adventists-ai/sop…
16
58
11
758
38,068
Upweights retweeted
Replying to @AIatMeta
release the weights please. otherwise nobody cares
3
1
54
2,373
Upweights retweeted
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
3,079
9,174
6,875
95,503
17,774,169
Otro día más sin Qwen 4 :(
15
24
3
325
4,483
Upweights retweeted
good read on reinforcement learning from collective rewards(RLCR)
12
89
1,031
38,617
Upweights retweeted
We're working on something cool that builds on the NeuroBLAST architecture. Neuroanatomy-inspired memory layers. We have run several ablations using frozen LFM2.5-230M weights as a baseline. 62.4% answer accuracy vs 43.2%, averaged across three seeds, on 576 fresh synthetic questions after 4,096-event streams. That’s +19.2 percentage points over the original pipeline, and +3.6 over the matched control - paired 95% interval +0.3 to +6.9. Still WIP, but promising; switching to LFM3-1.7B now.
🤖 Made with AI
3
4
60
2,154
Upweights retweeted
Pulling Mario out from the game and into your living room!
66
1,020
67
7,934
238,307
Upweights retweeted
A model release is only the beginning. 276 community derivatives later, Spark X2.5 + X2.6 have passed 5M downloads/pulls across six platforms. Thank you for making Spark your own. 💜 huggingface.co/XHToken
6
3
2
58
3,338