lora-library (lora concepts library)

posted an update about 1 month ago

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224

Hi everyone,

I've created a Gradio space for embedding and extracting invisible watermarks in images:
👉 eienmojiki/blind-watermark-studio

It supports hiding text, images, and bit arrays using the DWT-DCT-SVD algorithm.

Credits:
- Original library: https://github.com/guofei9987/blind_watermark
- Author: Guo Fei

:).

stephenb1334

in lora-library/inme 2 months ago

Add application file

#1 opened 2 months ago by

stephenb1334

JiachengZhu

authored a paper 9 months ago

Scaling Agent Learning via Experience Synthesis

Paper • 2511.03773 • Published Nov 5, 2025 • 83

adamm-hf

posted an update 9 months ago

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1552

The #1 trending AI/ML dataset today 🏆

Massive scale, diversity and end-to-end potential from nvidia !
nvidia/PhysicalAI-Autonomous-Vehicles

adamm-hf

posted an update 9 months ago

Post

873

The new King 👑has arrived!

Moonshot AI now the top model on Hugging Face 🔥
moonshotai/Kimi-K2-Thinking

adamm-hf

posted an update 9 months ago

Post

2916

💸🤑You don’t need 100 GPUs to train something amazing!

Our Smol Training Playbook teaches you a better path to world-class LLMs, for free!

Check out the #1 trending space on 🤗 :
HuggingFaceTB/smol-training-playbook

JiachengZhu

authored a paper 10 months ago

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 276

adamm-hf

posted an update 10 months ago

Post

2388

Cool stuff these past weeks on huggingface! 🤗 🚀 !
• 📈Trackio, local-first W&B alternative
https://github.com/gradio-app/trackio/issues
• 🌍EmbeddingGemma, 300M-param, multilingual embeddings, on-device
https://huggingface.co/blog/embeddinggemma
• 💻Open LLMs in VS Code (Inference Providers)
https://x.com/reach_vb/status/1966185427582497171
• 🤖Smol2Operator GUI agents
https://huggingface.co/blog/smol2operator
• 🖼️Gradio visible watermarking
https://huggingface.co/blog/watermarking-with-gradio

ehristoforu

posted an update 11 months ago

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2698

🚀Hello from the Project Fluently team!

✨ We are happy to share with you our new universal LLM models based on Qwen3 1.7B and 4B — powerful, multilingual and ready to solve a wide range of problems!

🛠️ We have conducted additional training and carefully merged them to achieve even better results and maximize the potential of the models.

🆓 And most importantly — the models are completely open and free under the Apache-2.0 license!

🔗 Links to repositories:
- FluentlyQwen3-4B: fluently/FluentlyQwen3-4B
- FluentlyQwen3-1.7B: fluently/FluentlyQwen3-1.7B

😍 We will be very glad to hear your feedback and impressions! Your opinion is very important to us!

AtAndDev

posted an update about 1 year ago

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732

Qwen 3 Coder is a personal attack to k2, and I love it.
It achieves near SOTA on LCB while not having reasoning.
Finally people are understanding that reasoning isnt necessary for high benches...

Qwen ftw!

DECENTRALIZE DECENTRALIZE DECENTRALIZE

AtAndDev

posted an update about 1 year ago

Post

3210

deepseek-ai/DeepSeek-R1-0528

This is the end

1 reply

·

asa1108

published a model about 1 year ago

lora-library/rhinoplasty-lora

Text-to-Image • Updated May 18, 2025 • 2

asa1108

updated a model about 1 year ago

lora-library/rhinoplasty-lora

Text-to-Image • Updated May 18, 2025 • 2

AtAndDev

posted an update over 1 year ago

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3159

Llama 4 is out...

3 replies

·

AtAndDev

posted an update over 1 year ago

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There seems to multiple paid apps shared here that are based on models on hf, but some ppl sell their wrappers as "products" and promote them here. For a long time, hf was the best and only platform to do oss model stuff but with the recent AI website builders anyone can create a product (really crappy ones btw) and try to sell it with no contribution to oss stuff. Please dont do this, or try finetuning the models you use...
Sorry for filling yall feed with this bs but yk...

6 replies

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AtAndDev

posted an update over 1 year ago

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1684

Gemma 3 seems to be really good at human preference. Just waiting for ppl to see it.

ehristoforu

posted an update over 1 year ago

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4485

Introducing our first standalone model – FluentlyLM Prinum

Introducing the first standalone model from Project Fluently LM! We worked on it for several months, used different approaches and eventually found the optimal one.

General characteristics:
- Model type: Causal language models (QwenForCausalLM, LM Transformer)
- Number of parameters: 32.5B
- Number of parameters (not embedded): 31.0B
- Number of layers: 64
- Context: 131,072 tokens
- Language(s) (NLP): English, French, Spanish, Russian, Chinese, Japanese, Persian (officially supported)
- License: MIT

Creation strategy:
The basis of the strategy is shown in Pic. 2.
We used Axolotl & Unsloth for SFT-finetuning with PEFT LoRA (rank=64, alpha=64) and Mergekit for SLERP and TIES mergers.

Evolution:
🏆 12th place in the Open LLM Leaderboard ( open-llm-leaderboard/open_llm_leaderboard) (21.02.2025)

Detailed results and comparisons are presented in Pic. 3.

Links:
- Model: https://huggingface.co/fluently-lm/FluentlyLM-Prinum
- GGUF version: mradermacher/FluentlyLM-Prinum-GGUF
- Demo on ZeroGPU: ehristoforu/FluentlyLM-Prinum-demo