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Vaibhav (VB) Srivastav
chief get-shit-done officer @huggingface | F1 fan | Here for @at_sofdog’s wisdom | *opinions my own
Shrek inspired, multi-person generation (with voice cloning) - this is possible now with a *single* TTS model!
20 tuntia sitten
NEW: Higgs Audio V2 from @boson_ai open, unified TTS model w/ voice cloning, beats GPT 4o mini tts and ElevenLabs v2 🔥
> Trained on 10M hours (speech, music, events)
> Built on top of Llama 3.2 3B
> Works real-time and on edge
> Beats GPT-4o-mini-tts, ElevenLabs v2 in prosody & emotion Multi-speaker dialog
> Zero-shot voice cloning 🤩
> Available on Hugging Face
Kudos to folks at Boson AI for releasing such a brilliant work and all the details around the model! 🤗
10,09K
NEW: Higgs Audio V2 from @boson_ai open, unified TTS model w/ voice cloning, beats GPT 4o mini tts and ElevenLabs v2 🔥
> Trained on 10M hours (speech, music, events)
> Built on top of Llama 3.2 3B
> Works real-time and on edge
> Beats GPT-4o-mini-tts, ElevenLabs v2 in prosody & emotion Multi-speaker dialog
> Zero-shot voice cloning 🤩
> Available on Hugging Face
Kudos to folks at Boson AI for releasing such a brilliant work and all the details around the model! 🤗
59,9K
Absolutely love playing with this! ❤️
22.7. klo 22.12
NEW: Onboarding experience on Hugging Face! - Experience the SoTA LLMs and Text to Image models directly 🤩
Really helps contextualise how to use these models and what they are capable of as of today
Ofcourse powered by our Inference Providers!
2,76K
Clarification: This was a cheeky way to say that the latest release from @Alibaba_Qwen sets a new milestone/ hill to climb for rest of the field.
We now have an open weights model competing with Opus 4 - the models will only get better and better from here.
22.7. klo 02.33
This is the dumbest open source models ever will be
9,36K
missed this, @NVIDIAAIDev silently dropped Open Reasoning Nemotron models (1.5-32B), SoTA on LiveCodeBench, CC-BY 4.0 licensed 🔥
> 32B competing with Qwen3 235B and DeepSeek R1
> Available across 1.5B, 7B, 14B and 32B size
> Supports upto 64K output tokens
> Utilises GenSelect (combines multiple parallel generations)
> Built on top of Qwen 2.5 series
> Allows commercial usage
Works out of the box in transformers, vllm, mlx, llama.cpp and more!
24,1K
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