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posted an update 2 days ago

Post

2781

Canceling My Pro Subscription

I'm officially canceling my Hugging Face Pro subscription today.
I supported this platform because it stood for true openness and neutrality. This acquisition by NVIDIA fundamentally changes that.

Here’s why I’m against this deal:
- Neutrality is dead. NVIDIA is a US-based company. This means US regulations will inevitably dictate platform policies, creating direct pressure on Chinese developers and anyone building open-weight models outside the US.
- Community over bureaucracy. NVIDIA is a massive, slow-moving corporation. This acquisition will likely drown the community in corporate processes and commercial interests. Soon, uploading a simple finetune might become a bureaucratic nightmare.
- Open vs. Proprietary. Hugging Face was built on open-source ideals. NVIDIA? They are a fiercely proprietary hardware company with a minimal track record of meaningful open-source contributions. They sell chips, not freedom.
- And to add insult to injury, NVIDIA has practically abandoned consumer RTX GPUs in 2026 to chase data center profits. Why would I pay them for "openness" when they've turned their back on the very developers who built this ecosystem?

I paid for openness. Not for a corporate takeover.

🤗 was about community.

12 replies

NitrAI

posted an update 2 days ago

Post

1555

My (really ugly) thoughts on NVIDIA acquiring Hugging Face
I don’t care if you love me or hate me – something about one of the most open community efforts ever to achieve the tagline “The community building the future“ getting gobbled up by a company that arguably is the biggest hardware monopoly that has ever existed strikes me as deeply unsettling. I don’t like monopolies, and that is that. The whole appeal of HF for me personally was always having a neutral location where anyone could develop, deploy, and test a model on their silicon of choice without being pushed into a single “official“ proprietary infrastructure stack.

I am not going to pretend that I would believe NVIDIA “open and independent“ is ever going to happen – hell we have all heard the same lines dozens of times from every corporation that has ever uttered them before.

When the single biggest producer of compute also is one of the primary locations where all open weights live, it becomes very hard not to imagine where all of this is going to end up soon enough if we continue to let companies dictate the narrative. It might be the hyperbole but it is an absolute truth for me – open-sourced AI cannot be a slave to the whims of a trillion dollar company. It is high time we realize that open AI cannot live and breathe only on the goodwill of corporate entities.

10 replies

DavidAU

posted an update 2 days ago

Post

4476

Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored

This is the first fine tune to exceed 730 "arc-c" ("735": 144 pts higher than Qwen 3.8 27B) AND 880 ARC-E (The OpenAI, Claude and Gemini "zone of intelligence") in 8 bit and over 718 arc-c in 4 bit.

This version is called TURBO because it drastically reduces thinking tokens (by 1/2 to as high as 1/10), yet maintains output detail and quality.

In other words while "reg" Qwen3.8 27B is thinking about "formatting" for a few 1000 tokens, this model is already done and waiting for more.

This repo contains both "regular" and "MTP" Neo-CODER MAX DI-MATRIX (duel imatrix) GGUF quants.

DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF

PS: There are 29 additional quant repos as of this writing too, as well NVFP4 and many more as well.

This is one of 10+ Qwen 3.8 27B at or above ARC-C of 717 (all 10 exceed all core benchmarks of Qwen 3.8, 3.6 and 3.5 27B and 35B-A3B versions) - you can see the complete project and some of the training here :

DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU

3 replies

spillai

posted an update 1 day ago

Post

1664

We're excited to introduce VLM Run Gateway - a new unified OpenAI-compatible API for running open-weight VLMs, OCR VLMs and ViT-based vision models.

https://vlm.run/gateway
Full model catalog: https://vlm.run/gateway/models
Blog post announcement: https://www.vlm.run/blog/introducing-gateway

Try different models on the gateway simply by updating the model name. Free to use and no sign-up required for now (in alpha).

$ uvx vlmrun gw models
$ uvx vlmrun gw chat <doc>.pdf -m glm-ocr
$ uvx vlmrun gw chat <doc>.pdf -m deepseek-ocr-2
$ uvx vlmrun gw chat <doc>.pdf -m pp-ocrv6
$ uvx vlmrun gw chat <img>.jpg -m qwen/qwen3.5-0.8b -p "describe the image"
$ uvx vlmrun gw chat <vid>.mp4 -m qwen/qwen3.5-0.8b -p "describe the video"

sergiopaniego

posted an update 3 days ago

Post

1810

Can you do RL over taste?

I've spent some time reproducing, in the open, Surya N's idea of training a model to paint with code. It's a coding model that learns to paint watercolours by writing JS code, trained with GRPO. I used TRL and OpenEnv for this, with the whole pipeline running on Hugging Face.

The interesting part is that the reward has no correct answer, unlike a math problem. In this case it's based on the artistic preferences of the person who builds the dataset.

Everything is published: the environment, the reference pool, the trained adapters, every painting of every run with the code that made it, and a write-up with all the decisions, including the ones that went wrong.

Blog post: https://huggingface.co/blog/train-to-paint-with-code

onekq

posted an update 3 days ago

Post

1411

CoT: 💬💬💬💬
Astra: 🧠🧠🧠💬

branikita

posted an update 2 days ago

Post

1749

SO-ARM 102 goes open source in the next few weeks.

What's new:
- A parallel gripper: the jaws stay parallel through the whole stroke instead of pivoting around the object as they close.
- PET-CF instead of PLA+ for a much stiffer frame.
- A topology-optimized structure.
- Wider joint rotation and folding range.
- STS3250 servos on the first shoulder joint.

Compared with the SO-ARM 101, that adds up to 2.5x the payload, roughly 2x better positioning accuracy, roughly 1.6x the movement speed, and about 36 mm more reach.

It runs on Hugging Face LeRobot, so the same tooling, training pipeline and tutorials for the SO-ARM 101 work on it from day one.

1 reply

prithivMLmods

posted an update 1 day ago

Post

1502

VisionGuardrail, a multimodal content-safety classifier based on Qwen3.5, is now available on Hugging Face in 4B and 9B variants. It is a direct upgrade to ImageShield-MMCF, providing improved parental controls through conservative visual content-safety filtering.

More About:
➠ hf.co/blog — https://huggingface.co/blog/prithivMLmods/vision-guardrail-mini-blog

➠ Models:
✦ VisionGuardrail-4B: prithivMLmods/VisionGuardrail-4B
✦ VisionGuardrail-9B: prithivMLmods/VisionGuardrail-9B

➠ Dataset:
✦ ImageShield-Guardrail-Pro: prithivMLmods/ImageShield-Guardrail-Pro

⤷ To learn more, visit the app page or the respective model pages.

KlondikeDev

posted an update 2 days ago

Post

1923

The SLM Consortium has begun work on a safety dataset for Small Language Models, with the creation of the dataset being headed by @wayneworkman2012

The dataset will focus on refusals and redirects surrounding dangerous or extreme sexual content, designed to be shaped sized appropriately for SLMs, without significantly lowering benchmark performance.

More info will be out soon!

slmconsortium

3 replies

Bc-AI

posted an update 3 days ago

Post

2445

Hello everyone!
Me and the team are working on G1-MINI and G1. Right now, G1-MINI is aimed at a launch in mid to late September, depending on how fast we fix the minor issues.
As for G1, it's looking like a late October to mid-November launch, based on current trajectory. If things go terribly wrong, we could postpone it to December, as we prefer to ship confidently, not ship a half-done dogs' breakfast of a model. 🤣
All dates could be changed at any moment, as we are high school students not full-time ML engineers 😅.
Other things to look out for is an overhaul of the UI and the information on my website. Thanks to my beta testers: @guardamarcos @Timmy6767 @MUK-IS-GOAT @smilyai-large-team @Sbui503 @Banaxi-Tech @Bc-AI @atom77777 @Harley-ml @Datdanboi25 @Fishtiks @smartdigitalnetworks @vovaRL @EmetTheGolum @juiceb0xc0de @ProCreations

3 replies

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