ttseval (TTS Eval (OLD))

mrfakename

posted an update 23 days ago

Post

3520

Trained a model for emotion-controllable TTS based on MiMo audio on LAION's dataset.

Still very early and does have an issue with hallucinating but results seem pretty good so far, given that it is very early into the training run.

Will probably kick off a new run later with some settings tweaked.

Put up a demo here: mrfakename/EmoAct-MiMo

(Turn 🔊 on to hear audio samples)

4 replies

·

multimodalart

posted an update about 1 month ago

Post

3791

Want to iterate on a Hugging Face Space with an LLM?

Now you can easily convert any HF entire repo (Model, Dataset or Space) to a text file and feed it to a language model!

multimodalart/repo2txt

thomwolf

authored a paper about 1 month ago

Robot Learning: A Tutorial

Paper • 2510.12403 • Published Oct 14 • 108

sanchit-gandhi

authored 2 papers 4 months ago

Magistral

Paper • 2506.10910 • Published Jun 12 • 65

Voxtral

Paper • 2507.13264 • Published Jul 17 • 29

thomwolf

authored a paper 5 months ago

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language

Paper • 2506.20920 • Published Jun 26 • 75

multimodalart

posted an update 5 months ago

Post

17780

Self-Forcing - a real-time video distilled model from Wan 2.1 by @adobe is out, and they open sourced it 🐐

I've built a live real time demo on Spaces 📹💨

multimodalart/self-forcing

6 replies

·

reach-vb

posted an update 5 months ago

Post

5742

Excited to onboard FeatherlessAI on Hugging Face as an Inference Provider - they bring a fleet of 6,700+ LLMs on-demand on the Hugging Face Hub 🤯

Starting today, you'd be able to access all those LLMs (OpenAI compatible) on HF model pages and via OpenAI client libraries too! 💥

Go, play with it today: https://huggingface.co/blog/inference-providers-featherless

P.S. They're also bringing on more GPUs to support all your concurrent requests!

1 reply

·

cbensimon

posted an update 5 months ago

Post

4007

🚀 ZeroGPU now supports PyTorch native quantization via torchao

While it hasn’t been battle-tested yet, Int8WeightOnlyConfig is already working flawlessly in our tests.

Let us know if you run into any issues — and we’re excited to see what the community will build!

import spaces
from diffusers import FluxPipeline
from torchao.quantization.quant_api import Int8WeightOnlyConfig, quantize_

pipeline = FluxPipeline.from_pretrained(...).to('cuda')
quantize_(pipeline.transformer, Int8WeightOnlyConfig()) # Or any other component(s)

@spaces.GPU
def generate(prompt: str):
    return pipeline(prompt).images[0]

5 replies

·

thomwolf

authored a paper 6 months ago

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 141

reach-vb

posted an update 6 months ago

Post

4610

hey hey @mradermacher - VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! 💥

as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): https://huggingface.co/blog/xet-on-the-hub and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!

in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.

p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: https://huggingface.co/docs/hub/storage-backends#using-xet-storage

p.p.s. this is fully backwards compatible so everything will work as it should! 🤗

16 replies

·

cbensimon

posted an update 6 months ago

Post

6077

🚀 ZeroGPU medium size is now available as a power-user feature

Nothing too fancy for now—ZeroGPU Spaces still default to large (70GB VRAM)—but this paves the way for:
- 💰 size-based quotas / pricing (medium will offer significantly more usage than large)
- 🦣 the upcoming xlarge size (141GB VRAM)

You can as of now control GPU size via a Space variable. Accepted values:
- auto (future default)
- medium
- large (current default)

The auto mode checks total CUDA tensor size during startup:
- More than 30GB → large
- Otherwise → medium

3 replies

·

thomwolf

posted an update 7 months ago

Post

7372

If you've followed the progress of robotics in the past 18 months, you've likely noticed how robotics is increasingly becoming the next frontier that AI will unlock.

At Hugging Face—in robotics and across all AI fields—we believe in a future where AI and robots are open-source, transparent, and affordable; community-built and safe; hackable and fun. We've had so much mutual understanding and passion working with the Pollen Robotics team over the past year that we decided to join forces!

You can already find our open-source humanoid robot platform Reachy 2 on the Pollen website and the Pollen community and people here on the hub at

pollen-robotics

We're so excited to build and share more open-source robots with the world in the coming months!

1 reply

·

thomwolf

authored a paper 8 months ago

SmolVLM: Redefining small and efficient multimodal models

Paper • 2504.05299 • Published Apr 7 • 200

pcuenq

authored a paper 8 months ago

SmolVLM: Redefining small and efficient multimodal models

Paper • 2504.05299 • Published Apr 7 • 200

reach-vb

authored a paper 8 months ago

SmolVLM: Redefining small and efficient multimodal models

Paper • 2504.05299 • Published Apr 7 • 200

thomwolf

authored a paper 8 months ago

YourBench: Easy Custom Evaluation Sets for Everyone

Paper • 2504.01833 • Published Apr 2 • 22

mrfakename

posted an update 8 months ago

Post

3574

Papla P1 from Papla Media is now available on the TTS Arena!

Try out Papla's new ultra-realistic TTS model + compare it with other leading models on the TTS Arena: TTS-AGI/TTS-Arena

thomwolf

posted an update 8 months ago

Post

3826

The new DeepSite space is really insane for vibe-coders
enzostvs/deepsite

With the wave of vibe-coding-optimized LLMs like the latest open-source DeepSeek model (version V3-0324), you can basically prompt out-of-the-box and create any app and game in one-shot.

It feels so powerful to me, no more complex framework or under-the-hood prompt engineering to have a working text-to-app tool.

AI is eating the world and *open-source* AI is eating AI itself!

PS: and even more meta is that the DeepSite app and DeepSeek model are both fully open-source code => time to start recursively improve?

PPS: you still need some inference hosting unless you're running the 600B param model at home, so check the very nice list of HF Inference Providers for this model: deepseek-ai/DeepSeek-V3-0324

1 reply

·

mrfakename

posted an update 8 months ago

Post

2988

GGUF quants (text-only) for the new Mistral Small 3.1 24B are now live:

mrfakename/mistral-small-3.1-24b-instruct-2503-gguf

TTS Eval (OLD)

AI & ML interests

Recent Activity

Robot Learning: A Tutorial

Magistral

Voxtral

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

SmolVLM: Redefining small and efficient multimodal models

SmolVLM: Redefining small and efficient multimodal models

SmolVLM: Redefining small and efficient multimodal models

YourBench: Easy Custom Evaluation Sets for Everyone

AI & ML interests

Recent Activity

Team members 9

ttseval's activity