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Victor Mustar PRO

victor

victormustar

AI & ML interests

Building the UX of this website

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liked a Space about 2 hours ago

nvidia/radio

upvoted an article about 2 hours ago

Mastering Long Contexts in LLMs with KVPress

replied to their post about 3 hours ago

Hey everyone, we've given https://hf.co/spaces page a fresh update! Smart Search: Now just type what you want to do—like "make a viral meme" or "generate music"—and our search gets it. New Categories: Check out the cool new filter bar with icons to help you pick a category fast. Redesigned Space Cards: Reworked a bit to really show off the app descriptions, so you know what each Space does at a glance. Random Prompt: Need ideas? Hit the dice button for a burst of inspiration. We’d love to hear what you think—drop us some feedback plz!

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replied to their post about 3 hours ago

Specifically, the detailed status of individual spaces is now more difficult to understand visually than before. Whether it's private or not, whether you've liked it or not, whether it's RUNNING or not... etc.

Ok, I'll try to improve the contrast of it, should help?

replied to their post about 3 hours ago

hope you like it!

reacted to hexgrad's post with 👍 about 15 hours ago

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I wrote an article about G2P: https://hf.co/blog/hexgrad/g2p

G2P is an underrated piece of small TTS models, like offensive linemen who do a bunch of work and get no credit.

Instead of relying on explicit G2P, larger speech models implicitly learn this task by eating many thousands of hours of audio data. They often use a 500M+ parameter LLM at the front to predict latent audio tokens over a learned codebook, then decode these tokens into audio.

Kokoro instead relies on G2P preprocessing, is 82M parameters, and thus needs less audio to learn. Because of this, we can cherrypick high fidelity audio for training data, and deliver solid speech for those voices. In turn, this excellent audio quality & lack of background noise helps explain why Kokoro is very competitive in single-voice TTS Arenas.

1 reply

reacted to oleggolev's post with 🚀 1 day ago

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🚀 Dobby-mini is out!

Last week, @SentientAGI released two demo models for the upcoming Dobby model family which we are building with your feedback: SentientAGI/dobby-mini-679af3ed45dfdd8c25e8112c

🔥 The two models (available as transformers and GGUF) are here:
- SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B 😈
- SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B 😇

Fine-tuned from Llama-3.1-8B-Instruct while retaining benchmark performance, these personality-enhanced models are prime for building anything from AI companions and social agents to opinionated chatbots and content generators.

- 🦅 Pro-freedom
- 💸 Pro-crypto
- 💪 Opinionated and stand their ground

💻 Local Setup with Ollama:
- Written instructions: https://huggingface.co/blog/chrisaubin/hosting-dobby-mini
- Companion video: https://www.youtube.com/watch?v=b1rbtCgK2YA

🎆 Use via API on Fireworks for free!
- Unhinged: https://tinyurl.com/4h2c7tmv
- Leashed: https://tinyurl.com/2xjwsdxb

✌️ Try Dobby-mini via a Gradio demo:
- https://demo-dobby.sentient.xyz/
- No Internet search, ask it some personal questions!

Dobby-70B en route 😎

posted an update 1 day ago

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Hey everyone, we've given https://hf.co/spaces page a fresh update!

Smart Search: Now just type what you want to do—like "make a viral meme" or "generate music"—and our search gets it.

New Categories: Check out the cool new filter bar with icons to help you pick a category fast.

Redesigned Space Cards: Reworked a bit to really show off the app descriptions, so you know what each Space does at a glance.

Random Prompt: Need ideas? Hit the dice button for a burst of inspiration.

We’d love to hear what you think—drop us some feedback plz!

5 replies

reacted to merve's post with 👍 4 days ago

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This week in open AI was 🔥 Let's recap! 🤗 merve/january-31-releases-679a10669bd4030090c5de4d
LLMs 💬
> Huge: AllenAI released new Tülu models that outperform DeepSeek R1 using Reinforcement Learning with Verifiable Reward (RLVR) based on Llama 3.1 405B 🔥
> Mistral AI is back to open-source with their "small" 24B models (base & SFT), with Apache 2.0 license 😱
> Alibaba Qwen released their 1M context length models Qwen2.5-Instruct-1M, great for agentic use with Apache 2.0 license 🔥
> Arcee AI released Virtuoso-medium, 32.8B LLMs distilled from DeepSeek V3 with dataset of 5B+ tokens
> Velvet-14B is a new family of 14B Italian LLMs trained on 10T tokens in six languages
> OpenThinker-7B is fine-tuned version of Qwen2.5-7B-Instruct on OpenThoughts dataset

VLMs & vision 👀
> Alibaba Qwen is back with Qwen2.5VL, amazing new capabilities ranging from agentic computer use to zero-shot localization 🔥
> NVIDIA released new series of Eagle2 models with 1B and 9B sizes
> DeepSeek released Janus-Pro, new any-to-any model (image-text generation from image-text input) with MIT license
> BEN2 is a new background removal model with MIT license!

Audio 🗣️
> YuE is a new open-source music generation foundation model, lyrics-to-song generation

Codebase 👩🏻‍💻
> We are open-sourcing our SmolVLM training and eval codebase! https://github.com/huggingface/smollm/tree/main/vision
> Open-R1 is open-source reproduction of R1 by @huggingface science team https://huggingface.co/blog/open-r1

1 reply

reacted to chansung's post with 👍 4 days ago

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A brief summary of the o3-mini

The OpenAI o3-mini model is a significant improvement over the o1-mini, reaching o1 performance levels. While generally good, its performance isn't universally better than previous models (o1, o1-prev.) or GPT-4o across all benchmarks. This means workflows should be re-evaluated with each model upgrade.

The o3-mini has "low," "medium," and "high" versions, with "low" being the base model used for benchmarking. It's speculated that the higher versions simply involve more processing. A fair comparison with other models like Gemini 2.0 Thinking or DeepSeek-R1 would likely need to use the "low" version and a similar "think more" mechanism.

The system card is recommended reading due to its comprehensive benchmark data.

https://openai.com/index/openai-o3-mini/

reacted to onekq's post with 👀 4 days ago

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o3-mini is slightly better than R1, but lags behind Claude. Sorry folks, no new SOTA 😕

But OAI definitely owns the fashion of API. temperature and top_p are history now, reasoning_effort will be copied by other vendors.

onekq-ai/WebApp1K-models-leaderboard

4 replies

reacted to singhsidhukuldeep's post with 👀 4 days ago

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Excited to share groundbreaking research in Knowledge Graph-based Retrieval-Augmented Generation (KG-RAG)!

Researchers from the University of Science and Technology of China have developed FRAG - a novel flexible modular framework that revolutionizes how Large Language Models (LLMs) reason with knowledge graphs.

What makes FRAG special? It intelligently adapts retrieval strategies based on query complexity without requiring expensive KG fine-tuning. The framework uses a reasoning-aware module to classify queries as simple or complex, then applies tailored retrieval pipelines.

Under the hood:
- For simple queries: Uses breadth-first search and ranking to efficiently find relevant paths
- For complex queries: Employs shortest path algorithms to minimize computational overhead
- Features a preprocessing-retrieval-postprocessing pipeline with flexible components
- Leverages traditional algorithms like PersonalizedPageRank for subgraph extraction
- Implements edge and path ranking models for precise information filtering

The results are impressive - FRAG achieves state-of-the-art performance while maintaining high efficiency and low resource consumption. On benchmark datasets like WebQSP and CWQ, it outperforms existing approaches by significant margins.

Most importantly, FRAG maintains flexibility and modularity while improving retrieval quality - no expensive LLM fine-tuning required! This makes it highly practical for real-world applications.

This work represents a major step forward in making LLMs more reliable and capable of complex reasoning tasks. Looking forward to seeing how this technology evolves!

2 replies

reacted to prithivMLmods's post with 🤗 4 days ago

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o3-Mini and Deepseek R1
Worked out with some famous and weird examples.

🔥Blog: https://huggingface.co/blog/prithivMLmods/o3-mini-vs-deepseek-r1

Prompt : Using HTML, CSS, and JavaScript in a single HTML file to create a simulation of the solar system. Pay extreme attention to the UI to make it as intuitive as possible. Ensure that every planet appears as a sphere and is labeled with its corresponding name.

example 1: o3 Mini , example 2: Deepseek R1

Q2 : https://huggingface.co/blog/prithivMLmods/o3-mini-vs-deepseek-r1#q2--web-solar-system-explorer

replied to RudeBoi's post 7 days ago

It should work as excepted now, if you can confirm :)

reacted to fantos's post with 🔥 9 days ago

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🚀 HuggingFace Spaces Ranking Tracker - Your Complete AI Trend Analytics!

Introducing the Spaces Ranking Tracker, a comprehensive analytics dashboard that tracks and analyzes every AI application in the HuggingFace ecosystem.

✨ Key Features:
• Real-time tracking of daily ranking changes over 30 days
• Detailed analysis of top 100 trending spaces
• User-based integrated score visualization
• One-click access to space details
• Interactive rank change graphs

📊 Dashboard Components:
1. Main Dashboard
- Daily rank trend graphs
- Top 20 creators' combined score chart
- Detailed space information cards
- Real-time trending score updates

2. Space Detailed Analysis
- Creation date, current rank, and trending score
- 30-day ranking history
- Direct space access
- Custom color coding for intuitive rank display

🎯 How to Use:
• Monitor latest AI community trends
• Track your project's performance
• Discover popular AI demos
• Analyze competing projects
• Follow AI ecosystem dynamics

3. Interactive Features
- Custom filtering options
- Sorting by various metrics
- Detailed performance statistics
- Comprehensive trending scores
- Historical data tracking

Stay on top of every movement in the HuggingFace ecosystem with daily ranking updates! 👉 Try it now!

🔗 Access Dashboard: fantos/Ranking-Tracker
#HuggingFace #AI #DataVisualization #TrendAnalysis #AITrends

1 reply

reacted to lewtun's post with 🔥 9 days ago

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We are reproducing the full DeepSeek R1 data and training pipeline so everybody can use their recipe. Instead of doing it in secret we can do it together in the open!

🧪 Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1.

🧠 Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code.

🔥 Step 3: show we can go from base model -> SFT -> RL via multi-stage training.

Follow along: https://github.com/huggingface/open-r1

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reacted to clem's post with 🔥 9 days ago

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AI is not a zero-sum game. Open-source AI is the tide that lifts all boats!

reacted to fdaudens's post with ❤️ 9 days ago

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Yes, DeepSeek R1's release is impressive. But the real story is what happened in just 7 days after:

- Original release: 8 models, 540K downloads. Just the beginning...

- The community turned those open-weight models into +550 NEW models on Hugging Face. Total downloads? 2.5M—nearly 5X the originals.

The reason? DeepSeek models are open-weight, letting anyone build on top of them. Interesting to note that the community focused on quantized versions for better efficiency & accessibility. They want models that use less memory, run faster, and are more energy-efficient.

When you empower builders, innovation explodes. For everyone. 🚀

The most popular community model? @bartowski 's DeepSeek-R1-Distill-Qwen-32B-GGUF version — 1M downloads alone.

4 replies

reacted to Bils's post with ❤️ 9 days ago

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🚀 Explore the powerful Janus-Pro-7B Text-to-Image Generator! Transform your prompts into stunning visuals with state-of-the-art AI.
Bils/DeepseekJanusPro-Image

2 replies

reacted to nicolay-r's post with 👍 9 days ago

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📢 For those who wish to launch distilled DeepSeek R1 for reasoning with schema, sharing the Google Colab notebook:
📙 https://github.com/nicolay-r/nlp-thirdgate/blob/master/tutorials/llm_deep_seek_7b_distill_colab.ipynb
This is a wrapper of the Qwen2 transformers 🤗 provider via bulk-chain framework.
Model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
GPU: T4 (15GB) is nearly enough in float32 mode.
🚀 To boost the performance you may set bf16 mode (use_bf16=True)
🌟 Powered by bulk-chain: https://github.com/nicolay-r/bulk-chain

posted an update 9 days ago

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Finally, an open-source AI that turns your lyrics into full songs is here—meet YuE! Unlike other tools that only create short clips, YuE can make entire songs (up to 5 minutes) with vocals, melody, and instruments all working together. Letsss go!

m-a-p/YuE-s1-7B-anneal-en-cot

1 reply

reacted to mlabonne's post with 🤗 19 days ago

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🆕 LLM Course 2025 edition!

I updated the LLM Scientist roadmap and added a ton of new information and references. It covers training, datasets, evaluation, quantization, and new trends like test-time compute scaling.

The LLM Course has been incredibly popular (41.3k stars!) and I've been touched to receive many, many messages about how it helped people in their careers.

I know how difficult this stuff can be, so I'm super proud of the impact it had. I want to keep updating it in 2025, especially with the LLM Engineer roadmap.

Thanks everyone, hope you'll enjoy it!

💻 LLM Course: https://huggingface.co/blog/mlabonne/llm-course

reacted to prithivMLmods's post with 🤗 19 days ago

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200+ f{🤗} on Stranger Zone! [ https://huggingface.co/strangerzonehf ]

❤️‍🔥Stranger Zone's MidJourney Mix Model Adapter is trending on the Very Model Page, with over 45,000+ downloads. Additionally, the Super Realism Model Adapter has over 52,000+ downloads, remains the top two adapter on Stranger Zone!
strangerzonehf/Flux-Midjourney-Mix2-LoRA, strangerzonehf/Flux-Super-Realism-LoRA

👽Try Demo: prithivMLmods/FLUX-LoRA-DLC

📦Most Recent Adapters to Check Out :
+ Ctoon : strangerzonehf/Ctoon-Plus-Plus
+ Cardboard : strangerzonehf/Flux-Cardboard-Art-LoRA
+ Claude Art : strangerzonehf/Flux-Claude-Art
+ Flay Lay : strangerzonehf/Flux-FlatLay-LoRA
+ Smiley Portrait : strangerzonehf/Flux-Smiley-Portrait-LoRA

🤗Thanks for Community & OPEN SOURCEEE !!

6 replies