huggingface-projects/drlc-leaderboard-data
Viewer
โข
Updated
โข
48.2k
โข
10.4k
โข
2
AI & ML interests
None defined yet.
Recent Activity
View all activity
pcuenqย
updated
a
dataset
43 minutes ago
Post
133
MOSS Transcribe Diarize ๐ A multimodal model for Speaker-Attributed, Time-Stamped Transcription from OpenMOSS.
MOSS Transcribe Diarize: Accurate Transcription with Speaker Diarization (2601.01554)
OpenMOSS-Team/MOSS-transcribe-diarize
โจ Single-pass end-to-end SATS
โจ 128k context, ~90 min audio
โจ Robust to overlap & noise
MOSS Transcribe Diarize: Accurate Transcription with Speaker Diarization (2601.01554)
OpenMOSS-Team/MOSS-transcribe-diarize
โจ Single-pass end-to-end SATS
โจ 128k context, ~90 min audio
โจ Robust to overlap & noise
Post
107
Daily Papers just got an AI reading assistant ๐ฅ
You can ask any question you want: clarify a paragraph, get a short summary...all without leaving the page!
โจ Powered by HuggingChat + Hugging Face MCP server
You can ask any question you want: clarify a paragraph, get a short summary...all without leaving the page!
โจ Powered by HuggingChat + Hugging Face MCP server
sergiopaniegoย
updated
a
dataset
about 23 hours ago
victorย
updated
a
Space
1 day ago
Post
1640
Chinese open source AI in December 2025 was about the stack coming together: open, end to end, and ready to ship ๐ฅ
https://huggingface.co/collections/zh-ai-community/december-2025-china-open-source-highlights
โจ Big wave of foundation models: still scaling, but efficiency, reasoning, and deployment now matter more than size
- DeepSeek-V3.2
- Z.ai GLM-4.7
- MiniMax-M2.1
- Xiaomi: MiMo-V2-Flash
โจ Multimodal reasoning is now default
- Z.ai GLM-4.6V
- Z.ai AutoGLM-Phone 9B
- Bytedance: Dolphin-v2
โจ Image & video: editable assets and real workflows
- Qwen-Image-Layered / Image-2512
- Meituan: LongCat-Image & Image Edit
- AIDC: Ovis-Image-7B
- Live-Avatar / LongCat-Video-Avatar
- HY-WorldPlay / RealVideo
โจ Audio goes edge ready
- GLM-ASR-Nano / Fun-ASR-Nano
- GLM-TTS / VoxCPM1.5
- CosyVoice 0.5B
โจ The quiet backbone: data & infrastructure
- Finch (FinWorkBench)
- Tencent ARC: TimeLens-100K
- BIGAI: TongSIM-Asset
- MiniMax: VTP-Base
โจ Also congrats on Minimax and Z.ai announced their IPOs and Moonshot announced a new $500M funding round ๐ฅ
Like everyone else, I was OOO at the end of December, so feel free to share (in comments or PR) any I missed in this list!
https://huggingface.co/collections/zh-ai-community/december-2025-china-open-source-highlights
โจ Big wave of foundation models: still scaling, but efficiency, reasoning, and deployment now matter more than size
- DeepSeek-V3.2
- Z.ai GLM-4.7
- MiniMax-M2.1
- Xiaomi: MiMo-V2-Flash
โจ Multimodal reasoning is now default
- Z.ai GLM-4.6V
- Z.ai AutoGLM-Phone 9B
- Bytedance: Dolphin-v2
โจ Image & video: editable assets and real workflows
- Qwen-Image-Layered / Image-2512
- Meituan: LongCat-Image & Image Edit
- AIDC: Ovis-Image-7B
- Live-Avatar / LongCat-Video-Avatar
- HY-WorldPlay / RealVideo
โจ Audio goes edge ready
- GLM-ASR-Nano / Fun-ASR-Nano
- GLM-TTS / VoxCPM1.5
- CosyVoice 0.5B
โจ The quiet backbone: data & infrastructure
- Finch (FinWorkBench)
- Tencent ARC: TimeLens-100K
- BIGAI: TongSIM-Asset
- MiniMax: VTP-Base
โจ Also congrats on Minimax and Z.ai announced their IPOs and Moonshot announced a new $500M funding round ๐ฅ
Like everyone else, I was OOO at the end of December, so feel free to share (in comments or PR) any I missed in this list!
Post
2352
๐ What happened in AI in 2025? ๐
We prepared the 2025 version of the HF AI Timeline Grid, highlighting open vs API-based model releases, and allowing you to browse and filter by access, modality, and release type!
Play with it here:
2025-ai-timeline/2025-ai-timeline
Here's my personal quarterly TL;DR:
1๏ธโฃ Q1 โ Learning to Reason
Deepseek not only releases a top-notch reasoning model, but shows how to train them and compete with closed frontier models. OpenAI debuts Deep Research.
Significant milestones: DeepSeek R1 & R1-Zero, Qwen 2.5 VL, OpenAI Deep Research, Gemini 2.5 Pro (experimental)
2๏ธโฃ Q2 โ Multimodality and Coding
More LLMs embrace multimodality by default, and there's a surge in coding agents. Strong vision, audio, and generative models emerge.
Significant milestones: Llama 4, Qwen 3, Imagen 4, OpenAI Codex, Google Jules, Claude 4
3๏ธโฃ Q3 โ "Gold" rush, OpenAI opens up, the community goes bananas
Flagship models get gold in Math olympiads and hard benchmarks. OpenAI releases strong open source models and Google releases the much anticipated nano-banana for image generation and editing. Agentic workflows become commonplace.
Significant milestones: Gemini and OpenAI IMO Gold, gpt-oss, Gemini 2.5 Flash Image, Grok 4, Claude Sonnet 4.5
4๏ธโฃ Q4 โ Mistral returns, leaderboard hill-climbing
Mistral is back with updated model families. All labs release impressive models to wrap up the year!
Significant milestones: Claude Opus 4.5, DeepSeek Math V2, FLUX 2, GPT 5.1, Kimi K2 Thinking, Nano Banana Pro, GLM 4.7, Gemini 3, Mistral 3, MiniMax M2.1 ๐คฏ
Credits
๐ NHLOCAL for the source data https://github.com/NHLOCAL/AiTimeline
๐ซก @reach-vb for the original idea, design and recipe
๐ @ariG23498 and yours truly for compiling and verifying the 2025 edition
๐ฅณ Here's to 2026, wishing it becomes the best year ever for open releases and on-device-first use-cases! ๐ฅ
We prepared the 2025 version of the HF AI Timeline Grid, highlighting open vs API-based model releases, and allowing you to browse and filter by access, modality, and release type!
Play with it here:
2025-ai-timeline/2025-ai-timeline
Here's my personal quarterly TL;DR:
1๏ธโฃ Q1 โ Learning to Reason
Deepseek not only releases a top-notch reasoning model, but shows how to train them and compete with closed frontier models. OpenAI debuts Deep Research.
Significant milestones: DeepSeek R1 & R1-Zero, Qwen 2.5 VL, OpenAI Deep Research, Gemini 2.5 Pro (experimental)
2๏ธโฃ Q2 โ Multimodality and Coding
More LLMs embrace multimodality by default, and there's a surge in coding agents. Strong vision, audio, and generative models emerge.
Significant milestones: Llama 4, Qwen 3, Imagen 4, OpenAI Codex, Google Jules, Claude 4
3๏ธโฃ Q3 โ "Gold" rush, OpenAI opens up, the community goes bananas
Flagship models get gold in Math olympiads and hard benchmarks. OpenAI releases strong open source models and Google releases the much anticipated nano-banana for image generation and editing. Agentic workflows become commonplace.
Significant milestones: Gemini and OpenAI IMO Gold, gpt-oss, Gemini 2.5 Flash Image, Grok 4, Claude Sonnet 4.5
4๏ธโฃ Q4 โ Mistral returns, leaderboard hill-climbing
Mistral is back with updated model families. All labs release impressive models to wrap up the year!
Significant milestones: Claude Opus 4.5, DeepSeek Math V2, FLUX 2, GPT 5.1, Kimi K2 Thinking, Nano Banana Pro, GLM 4.7, Gemini 3, Mistral 3, MiniMax M2.1 ๐คฏ
Credits
๐ NHLOCAL for the source data https://github.com/NHLOCAL/AiTimeline
๐ซก @reach-vb for the original idea, design and recipe
๐ @ariG23498 and yours truly for compiling and verifying the 2025 edition
๐ฅณ Here's to 2026, wishing it becomes the best year ever for open releases and on-device-first use-cases! ๐ฅ
- 1 reply
Post
1836
MiniMax M2.1 blog is out๐ฅ
https://huggingface.co/blog/MiniMaxAI/multilingual-and-multi-task-coding-with-strong-gen
Only a year into open source, MiniMax is already making a great impact. Not only through solid models/products, but also by how well the team uses community platforms like Hugging Face.
HF Teams, blogs, Daily Papers, Spaces as project pages, and always experimenting with new ways to engage. Super impressive!
https://huggingface.co/blog/MiniMaxAI/multilingual-and-multi-task-coding-with-strong-gen
Only a year into open source, MiniMax is already making a great impact. Not only through solid models/products, but also by how well the team uses community platforms like Hugging Face.
HF Teams, blogs, Daily Papers, Spaces as project pages, and always experimenting with new ways to engage. Super impressive!
Post
3545
2025.1 - DeepSeek entered the scene, backed by High Flyer Quant
2026.1 - IQuest enters the game, backed by Uniquant Quant ๐ and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
โจ 40B models: Instruct / Thinking / Loop
โจ Loop = MoE-level performance with only ~5% extra training cost
โจ Native 128K context
2026.1 - IQuest enters the game, backed by Uniquant Quant ๐ and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
โจ 40B models: Instruct / Thinking / Loop
โจ Loop = MoE-level performance with only ~5% extra training cost
โจ Native 128K context
- 1 reply
sergiopaniegoย
posted
an
update
6 days ago
Post
2429
The list of hands-on notebooks (some beginner-friendly!) to get started with fine-tuning using TRL keeps growing!!
โข SFT
โข GRPO
โข Tool calling & agents
โข RL environments with OpenEnv
โข LLMs and VLMs
โจ Many run on FREE Colab, making it super easy to get started fast!
https://github.com/huggingface/trl/tree/main/examples/notebooks
โข SFT
โข GRPO
โข Tool calling & agents
โข RL environments with OpenEnv
โข LLMs and VLMs
โจ Many run on FREE Colab, making it super easy to get started fast!
https://github.com/huggingface/trl/tree/main/examples/notebooks
akhaliqย
submitted
2
papers
to Daily Papers
6 days ago
AdinaYย
submitted
a
paper
to Daily Papers
7 days ago
sergiopaniegoย
posted
an
update
9 days ago
Post
355
As the year comes to an end, itโs a good moment to catch up on some of the best long-form pieces published by the
@huggingface
team.
Iโve gathered them all here if you want to read or save them for later:
https://huggingface.co/collections/sergiopaniego/research-and-long-form-blog-posts
Iโve gathered them all here if you want to read or save them for later:
https://huggingface.co/collections/sergiopaniego/research-and-long-form-blog-posts
sergiopaniegoย
posted
an
update
10 days ago
Post
2202
This super detailed tutorial by
@Paulescu
is pure gold ๐ช "Fine-tuning a Small Language Model for browser control with GRPO and OpenEnv"
LFM2-350M ( @LiquidAI ) + BrowserGym (OpenEnv) + GRPO (TRL) for learning browser control ๐ค
https://paulabartabajo.substack.com/p/fine-tuning-lfm2-350m-for-browser
LFM2-350M ( @LiquidAI ) + BrowserGym (OpenEnv) + GRPO (TRL) for learning browser control ๐ค
https://paulabartabajo.substack.com/p/fine-tuning-lfm2-350m-for-browser
sergiopaniegoย
posted
an
update
16 days ago
Post
422
if youโre on holidays ๐ and want some reading, here are blogs I contributed to this year:
๐ฆ VLMs in TRL: https://huggingface.co/blog/trl-vlm-alignment
๐ฆ VLMs in 2025: https://huggingface.co/blog/vlms-2025
๐พ tokenization in transformers v5: https://huggingface.co/blog/tokenizers
๐ธ faster transformers: https://huggingface.co/blog/faster-transformers
๐ฆ VLMs in TRL: https://huggingface.co/blog/trl-vlm-alignment
๐ฆ VLMs in 2025: https://huggingface.co/blog/vlms-2025
๐พ tokenization in transformers v5: https://huggingface.co/blog/tokenizers
๐ธ faster transformers: https://huggingface.co/blog/faster-transformers
sergiopaniegoย
posted
an
update
17 days ago
Post
1946
The Christmas holidays are here! ๐
Thinking about learning something new in AI?
@huggingface offers 12 FREE courses covering all the relevant topics, for every level of experience. A great challenge for the holidays (and worth saving for later ๐)
Letโs explore them!
๐ง ๐๐๐ ๐๐ผ๐๐ฟ๐๐ฒ: large language models with HF tools
https://huggingface.co/learn/llm-course
๐ค ๐๐ด๐ฒ๐ป๐๐ ๐๐ผ๐๐ฟ๐๐ฒ: build and deploy AI agents
https://huggingface.co/learn/agents-course
๐จ ๐๐ถ๐ณ๐ณ๐๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ: diffusion models with ๐ค Diffusers
https://huggingface.co/learn/diffusion-course
๐ ๐๐๐ฑ๐ถ๐ผ ๐๐ผ๐๐ฟ๐๐ฒ: transformers for audio tasks
https://huggingface.co/learn/audio-course
๐ฎ ๐๐ฒ๐ฒ๐ฝ ๐ฅ๐ ๐๐ผ๐๐ฟ๐๐ฒ: deep reinforcement learning
https://huggingface.co/learn/deep-rl-course
๐๏ธ ๐๐ผ๐บ๐บ๐๐ป๐ถ๐๐ ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ: modern computer vision with HF
https://huggingface.co/learn/computer-vision-course
๐ฆพ ๐ฅ๐ผ๐ฏ๐ผ๐๐ถ๐ฐ๐ ๐๐ผ๐๐ฟ๐๐ฒ (๐๐ฒ๐ฅ๐ผ๐ฏ๐ผ๐): learning-based robotics
https://huggingface.co/learn/robotics-course
๐งฉ ๐ ๐๐ฃ ๐๐ผ๐๐ฟ๐๐ฒ: Model Context Protocol explained
https://huggingface.co/learn/mcp-course
๐งช ๐ ๐ฆ๐บ๐ผ๐น ๐๐ผ๐๐ฟ๐๐ฒ: post-training AI models
https://huggingface.co/learn/a-smol-course
๐น๏ธ ๐ ๐ ๐ณ๐ผ๐ฟ ๐๐ฎ๐บ๐ฒ๐: AI in game development
https://huggingface.co/learn/ml-for-games-course
๐ง ๐ ๐ ๐ณ๐ผ๐ฟ ๐ฏ๐: machine learning for 3D data
https://huggingface.co/learn/ml-for-3d-course
๐ ๐ข๐ฝ๐ฒ๐ป-๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ ๐๐ ๐๐ผ๐ผ๐ธ๐ฏ๐ผ๐ผ๐ธ: practical AI notebooks
https://huggingface.co/learn/cookbook
All of them can be found here: https://huggingface.co/learn
Thinking about learning something new in AI?
@huggingface offers 12 FREE courses covering all the relevant topics, for every level of experience. A great challenge for the holidays (and worth saving for later ๐)
Letโs explore them!
๐ง ๐๐๐ ๐๐ผ๐๐ฟ๐๐ฒ: large language models with HF tools
https://huggingface.co/learn/llm-course
๐ค ๐๐ด๐ฒ๐ป๐๐ ๐๐ผ๐๐ฟ๐๐ฒ: build and deploy AI agents
https://huggingface.co/learn/agents-course
๐จ ๐๐ถ๐ณ๐ณ๐๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ: diffusion models with ๐ค Diffusers
https://huggingface.co/learn/diffusion-course
๐ ๐๐๐ฑ๐ถ๐ผ ๐๐ผ๐๐ฟ๐๐ฒ: transformers for audio tasks
https://huggingface.co/learn/audio-course
๐ฎ ๐๐ฒ๐ฒ๐ฝ ๐ฅ๐ ๐๐ผ๐๐ฟ๐๐ฒ: deep reinforcement learning
https://huggingface.co/learn/deep-rl-course
๐๏ธ ๐๐ผ๐บ๐บ๐๐ป๐ถ๐๐ ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ: modern computer vision with HF
https://huggingface.co/learn/computer-vision-course
๐ฆพ ๐ฅ๐ผ๐ฏ๐ผ๐๐ถ๐ฐ๐ ๐๐ผ๐๐ฟ๐๐ฒ (๐๐ฒ๐ฅ๐ผ๐ฏ๐ผ๐): learning-based robotics
https://huggingface.co/learn/robotics-course
๐งฉ ๐ ๐๐ฃ ๐๐ผ๐๐ฟ๐๐ฒ: Model Context Protocol explained
https://huggingface.co/learn/mcp-course
๐งช ๐ ๐ฆ๐บ๐ผ๐น ๐๐ผ๐๐ฟ๐๐ฒ: post-training AI models
https://huggingface.co/learn/a-smol-course
๐น๏ธ ๐ ๐ ๐ณ๐ผ๐ฟ ๐๐ฎ๐บ๐ฒ๐: AI in game development
https://huggingface.co/learn/ml-for-games-course
๐ง ๐ ๐ ๐ณ๐ผ๐ฟ ๐ฏ๐: machine learning for 3D data
https://huggingface.co/learn/ml-for-3d-course
๐ ๐ข๐ฝ๐ฒ๐ป-๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ ๐๐ ๐๐ผ๐ผ๐ธ๐ฏ๐ผ๐ผ๐ธ: practical AI notebooks
https://huggingface.co/learn/cookbook
All of them can be found here: https://huggingface.co/learn
Post
739
Following up on LLaDA 2.0 , the paper is now out on Daily Papers๐ฅ
It has sparked a lot of discussion in the community for showing how discrete diffusion LLMs can scale to 100B and run faster than traditional AR models.
LLaDA2.0: Scaling Up Diffusion Language Models to 100B (2512.15745)
It has sparked a lot of discussion in the community for showing how discrete diffusion LLMs can scale to 100B and run faster than traditional AR models.
LLaDA2.0: Scaling Up Diffusion Language Models to 100B (2512.15745)
sergiopaniegoย
posted
an
update
20 days ago
Post
1838
Google DeepMind releases FunctionGemma, a 240M model specialized in ๐ง tool calling, built for fine-tuning
TRL has day-0 support. To celebrate, weโre sharing 2 new resources:
> Colab guide to fine-tune it for ๐ browser control with BrowserGym OpenEnv
> Standalone training script
> Colab notebook: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_functiongemma_browsergym_openenv.ipynb
> Training script: https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/browsergym_llm.py (command to run it inside the script)
> More notebooks in TRL: https://huggingface.co/docs/trl/example_overview#notebooks
TRL has day-0 support. To celebrate, weโre sharing 2 new resources:
> Colab guide to fine-tune it for ๐ browser control with BrowserGym OpenEnv
> Standalone training script
> Colab notebook: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_functiongemma_browsergym_openenv.ipynb
> Training script: https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/browsergym_llm.py (command to run it inside the script)
> More notebooks in TRL: https://huggingface.co/docs/trl/example_overview#notebooks
Post
2895
Nvidia is on a roll lately. Nemotron 3 Nano is my new fav local model, but here's the real flex: they published the entire evaluation setup. Configs, prompts, logs, all of it. This is how you do open models ๐ฅ
https://huggingface.co/blog/nvidia/nemotron-3-nano-evaluation-recipe
https://huggingface.co/blog/nvidia/nemotron-3-nano-evaluation-recipe