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Victor Mustar PRO
victor
AI & ML interests
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victor's activity
reacted to
mlabonne's
post with 🤗
9 days ago
Post
3330
🆕 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
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 🤗
9 days ago
Post
3343
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 !!
❤️🔥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
reacted to
burtenshaw's
post with 🔥
9 days ago
Post
38268
We’re launching a FREE and CERTIFIED course on Agents!
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
- 22 replies
reacted to
cutechicken's
post with 🔥
9 days ago
Post
2832
🔬 PaperImpact
: Scientific Impact Predictor Powered by Deep Learning 🎯
VIDraft/PaperImpact
📚 Overview
A cutting-edge AI system that combines transformer architecture with citation pattern analysis to predict research impact. Our model, trained on 120,000+ CS papers, analyzes innovation potential, methodological robustness, and future impact, providing researchers with valuable insights before publication.
🧠 Scientific Foundation
BERT-based semantic analysis
Citation network pattern learning
NDCG optimization & MSE loss
Cross-validated prediction engine
GPU-accelerated inference
💫 Why Researchers Need This
Pre-submission impact assessment
Research direction optimization
Time-saving paper evaluation
Competitive edge in academia
Trend identification advantage
🎯 Key Features
One-click arXiv paper analysis
Real-time impact scoring (0-1)
9-tier grading system (AAA-C)
Smart input validation
Instant visual feedback
🌟 Unique Benefits
"Don't wait years to know your paper's impact. Get instant, AI-powered insights to strengthen your research strategy and maximize your academic influence."
Perfect for:
Research authors
PhD students
Journal editors
Research institutions
Grant committees
#ResearchImpact #AcademicAI #ScienceMetrics #ResearchExcellence
: Scientific Impact Predictor Powered by Deep Learning 🎯
VIDraft/PaperImpact
📚 Overview
A cutting-edge AI system that combines transformer architecture with citation pattern analysis to predict research impact. Our model, trained on 120,000+ CS papers, analyzes innovation potential, methodological robustness, and future impact, providing researchers with valuable insights before publication.
🧠 Scientific Foundation
BERT-based semantic analysis
Citation network pattern learning
NDCG optimization & MSE loss
Cross-validated prediction engine
GPU-accelerated inference
💫 Why Researchers Need This
Pre-submission impact assessment
Research direction optimization
Time-saving paper evaluation
Competitive edge in academia
Trend identification advantage
🎯 Key Features
One-click arXiv paper analysis
Real-time impact scoring (0-1)
9-tier grading system (AAA-C)
Smart input validation
Instant visual feedback
🌟 Unique Benefits
"Don't wait years to know your paper's impact. Get instant, AI-powered insights to strengthen your research strategy and maximize your academic influence."
Perfect for:
Research authors
PhD students
Journal editors
Research institutions
Grant committees
#ResearchImpact #AcademicAI #ScienceMetrics #ResearchExcellence
- 1 reply
reacted to
nyuuzyou's
post with ❤️
9 days ago
Post
1669
🎨 Artfol Dataset -
nyuuzyou/artfol
A collection of 1,892,816 artwork posts featuring:
- High-quality art pieces with various styles and techniques
- Complete metadata including artist IDs, titles, and moderation flags
- Content from Artfol social media platform
The dataset contains:
- Public domain artwork posts
- Artist attribution and identifiers
- Direct image URLs and web page links
- Content safety flags (NSFW, gore)
- Post titles and descriptions
All content is available under CC0 license, allowing unrestricted use including commercial applications.
A collection of 1,892,816 artwork posts featuring:
- High-quality art pieces with various styles and techniques
- Complete metadata including artist IDs, titles, and moderation flags
- Content from Artfol social media platform
The dataset contains:
- Public domain artwork posts
- Artist attribution and identifiers
- Direct image URLs and web page links
- Content safety flags (NSFW, gore)
- Post titles and descriptions
All content is available under CC0 license, allowing unrestricted use including commercial applications.
reacted to
yunusserhat's
post with 🚀
9 days ago
Post
3230
Hello everyone,
I am pleased to announce that I have founded the University of Glasgow organization on Huggingface. If you are affiliated with the University of Glasgow or have a relative who is, you can log in through the relevant link.
https://huggingface.co/UniversityofGlasgow
I am pleased to announce that I have founded the University of Glasgow organization on Huggingface. If you are affiliated with the University of Glasgow or have a relative who is, you can log in through the relevant link.
https://huggingface.co/UniversityofGlasgow
- 1 reply
reacted to
alibabasglab's
post with 🔥
14 days ago
Post
2585
We are thrilled to present the improved "ClearerVoice-Studio", an open-source platform designed to make speech processing easy use for everyone! Whether you’re working on speech enhancement, speech separation, speech super-resolution, or target speaker extraction, this unified platform has you covered.
** Why Choose ClearerVoice-Studio?**
- Pre-Trained Models: Includes cutting-edge pre-trained models, fine-tuned on extensive, high-quality datasets. No need to start from scratch!
- Ease of Use: Designed for seamless integration with your projects, offering a simple yet flexible interface for inference and training.
**Where to Find Us?**
- GitHub Repository: ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio)
- Try Our Demo: Hugging Face Space ( alibabasglab/ClearVoice)
**What Can You Do with ClearerVoice-Studio?**
- Enhance noisy speech recordings to achieve crystal-clear quality.
- Separate speech from complex audio mixtures with ease.
- Transform low-resolution audio into high-resolution audio. A full upscaled LJSpeech-1.1-48kHz dataset can be downloaded from alibabasglab/LJSpeech-1.1-48kHz .
- Extract target speaker voices with precision using audio-visual models.
**Join Us in Growing ClearerVoice-Studio!**
We believe in the power of open-source collaboration. By starring our GitHub repository and sharing ClearerVoice-Studio with your network, you can help us grow this community-driven platform.
**Support us by:**
- Starring it on GitHub.
- Exploring and contributing to our codebase .
- Sharing your feedback and use cases to make the platform even better.
- Joining our community discussions to exchange ideas and innovations.
- Together, let’s push the boundaries of speech processing! Thank you for your support! :sparkling_heart:
** Why Choose ClearerVoice-Studio?**
- Pre-Trained Models: Includes cutting-edge pre-trained models, fine-tuned on extensive, high-quality datasets. No need to start from scratch!
- Ease of Use: Designed for seamless integration with your projects, offering a simple yet flexible interface for inference and training.
**Where to Find Us?**
- GitHub Repository: ClearerVoice-Studio (https://github.com/modelscope/ClearerVoice-Studio)
- Try Our Demo: Hugging Face Space ( alibabasglab/ClearVoice)
**What Can You Do with ClearerVoice-Studio?**
- Enhance noisy speech recordings to achieve crystal-clear quality.
- Separate speech from complex audio mixtures with ease.
- Transform low-resolution audio into high-resolution audio. A full upscaled LJSpeech-1.1-48kHz dataset can be downloaded from alibabasglab/LJSpeech-1.1-48kHz .
- Extract target speaker voices with precision using audio-visual models.
**Join Us in Growing ClearerVoice-Studio!**
We believe in the power of open-source collaboration. By starring our GitHub repository and sharing ClearerVoice-Studio with your network, you can help us grow this community-driven platform.
**Support us by:**
- Starring it on GitHub.
- Exploring and contributing to our codebase .
- Sharing your feedback and use cases to make the platform even better.
- Joining our community discussions to exchange ideas and innovations.
- Together, let’s push the boundaries of speech processing! Thank you for your support! :sparkling_heart:
reacted to
Tonic's
post with 🔥
14 days ago
Post
2384
🙋🏻♂️Hey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group :
Tonic/Lucie-7B hope you like it 🚀
reacted to
nroggendorff's
post with 🔥👀
14 days ago
replied to
StephenGenusa's
post
14 days ago
Mhhh, sorry about that. (ping @cbensimon mabye he can help)
Nice any hosted version?
reacted to
roseking's
post with 🤗
19 days ago
Post
1549
🎉 Major Updates to HF Daily Paper Newsletter Bot
I'm excited to announce significant improvements to my HF Daily Paper Newsletter Bot! Here are the key updates:
🖼️ Enhanced Poster Generation
- Implemented dynamic height adjustment for daily paper posters
- Added support for displaying complete paper content without truncation
- Improved Chinese font rendering and text layout
- Integrated Hugging Face logo for better branding
- Enhanced visual aesthetics with optimized card layouts
📝 Content Improvements
- Removed paper count limitations (previously capped at 5 papers)
- Enhanced title and summary extraction algorithms
- Improved text wrapping and spacing for better readability
- Added proper handling of long content with automatic layout adjustments
🛠️ Technical Enhancements
- Implemented better font loading mechanism with fallback options
- Added support for multiple Chinese font paths
- Improved error handling and logging
- Enhanced memory management for image processing
- Added detailed debugging information
🌟 Visual Design Updates
- Refined color scheme with HF brand colors
- Improved card spacing and padding
- Enhanced typography with better font sizing
- Added smooth transitions between paper cards
- Optimized overall layout for better visual hierarchy
🔧 Infrastructure Updates
- Improved GitHub Actions workflow reliability
- Enhanced error notification system
- Added automatic retries for API calls
- Improved logging and debugging capabilities
The bot now generates more professional and visually appealing daily paper summaries while ensuring complete content display. These updates make the newsletter more readable and informative for our users.
Try it out and let me know what you think! Your feedback helps me make continuous improvements to better serve the AI research community.
#HuggingFace #AI #MachineLearning #ResearchPapers #OpenSource
I'm excited to announce significant improvements to my HF Daily Paper Newsletter Bot! Here are the key updates:
🖼️ Enhanced Poster Generation
- Implemented dynamic height adjustment for daily paper posters
- Added support for displaying complete paper content without truncation
- Improved Chinese font rendering and text layout
- Integrated Hugging Face logo for better branding
- Enhanced visual aesthetics with optimized card layouts
📝 Content Improvements
- Removed paper count limitations (previously capped at 5 papers)
- Enhanced title and summary extraction algorithms
- Improved text wrapping and spacing for better readability
- Added proper handling of long content with automatic layout adjustments
🛠️ Technical Enhancements
- Implemented better font loading mechanism with fallback options
- Added support for multiple Chinese font paths
- Improved error handling and logging
- Enhanced memory management for image processing
- Added detailed debugging information
🌟 Visual Design Updates
- Refined color scheme with HF brand colors
- Improved card spacing and padding
- Enhanced typography with better font sizing
- Added smooth transitions between paper cards
- Optimized overall layout for better visual hierarchy
🔧 Infrastructure Updates
- Improved GitHub Actions workflow reliability
- Enhanced error notification system
- Added automatic retries for API calls
- Improved logging and debugging capabilities
The bot now generates more professional and visually appealing daily paper summaries while ensuring complete content display. These updates make the newsletter more readable and informative for our users.
Try it out and let me know what you think! Your feedback helps me make continuous improvements to better serve the AI research community.
#HuggingFace #AI #MachineLearning #ResearchPapers #OpenSource
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- 2 replies
reacted to
mitkox's
post with 🔥
19 days ago
Post
2438
Can it run DeepSeek V3 671B is the new 'can it run Doom'.
How minimalistic can I go with on device AI with behemoth models - here I'm running DeepSeek V3 MoE on a single A6000 GPU.
Not great, not terrible, for this minimalistic setup. I love the Mixture of Experts architectures. Typically I'm running my core LLM distributed over the 4 GPUs.
Make sure you own your AI. AI in the cloud is not aligned with you; it's aligned with the company that owns it.
How minimalistic can I go with on device AI with behemoth models - here I'm running DeepSeek V3 MoE on a single A6000 GPU.
Not great, not terrible, for this minimalistic setup. I love the Mixture of Experts architectures. Typically I'm running my core LLM distributed over the 4 GPUs.
Make sure you own your AI. AI in the cloud is not aligned with you; it's aligned with the company that owns it.
- 5 replies
reacted to
ngxson's
post with 👀
19 days ago
Post
2486
I made this small tool that can be useful for debugging Ollama chat template:
ngxson/ollama_template_test
CC @bartowski you may need this ;-)
CC @bartowski you may need this ;-)
- 2 replies
reacted to
jasoncorkill's
post with 👍
20 days ago
Post
1617
We had a few people asking about the differences and methodologies of our addition to the open-image-preferences dataset. So my colleague and I wrote a blog post about it with the new huggingface blog functionality: https://huggingface.co/blog/RapidataAI/more-image-preferences
reacted to
sequelbox's
post with 🔥
20 days ago
Post
1392
NEW RELEASE: the
sequelbox/Tachibana-QVQ dataset is here! Code-reasoning and code-instruct data generated with
Qwen/QVQ-72B-Preview
Come check out QVQ's coding skills!
for everyone to use!
more QVQ and Llama 3.1 405b datasets coming soon :)
Come check out QVQ's coding skills!
for everyone to use!
more QVQ and Llama 3.1 405b datasets coming soon :)
reacted to
danielhanchen's
post with 🔥
20 days ago
Post
3117
Deepseek V3, including GGUF + bf16 versions are now uploaded!
Includes 2, 3, 4, 5, 6 and 8-bit quantized versions.
GGUFs: unsloth/DeepSeek-V3-GGUF
bf16: unsloth/DeepSeek-V3-bf16
Min. hardware requirements to run: 48GB RAM + 250GB of disk space for 2-bit.
See how to run them with examples and the full collection: unsloth/deepseek-v3-all-versions-677cf5cfd7df8b7815fc723c
Includes 2, 3, 4, 5, 6 and 8-bit quantized versions.
GGUFs: unsloth/DeepSeek-V3-GGUF
bf16: unsloth/DeepSeek-V3-bf16
Min. hardware requirements to run: 48GB RAM + 250GB of disk space for 2-bit.
See how to run them with examples and the full collection: unsloth/deepseek-v3-all-versions-677cf5cfd7df8b7815fc723c
reacted to
reddgr's
post with 👀
20 days ago
Post
2314
Major update on the Talking to Chatbots dataset! Expanded the 'wrapped' dataset (one row per chat) to 2.86k records, and the 'unwrapped' version (one row per conversation turn) to 11k records. The main source is my ChatGPT archive with nearly 2 years of chats. It is still a work in progress as I incorporate chats from other sources and qualitative metrics (SCBN) for responses.
reddgr/talking-to-chatbots-unwrapped-chats
reddgr/talking-to-chatbots-chats
reddgr/talking-to-chatbots-unwrapped-chats
reddgr/talking-to-chatbots-chats