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pcuenq
updated
a
dataset
about 4 hours ago
Post
136
Wechat AI is shipping!
WeDLM 🔥 A new language model that generates tokens in parallel, making it faster than standard LLMs , with the same Transformer setup!
https://huggingface.co/collections/tencent/wedlm
✨ 7B/8B - Base & Instruct
✨ Apache 2.0
WeDLM 🔥 A new language model that generates tokens in parallel, making it faster than standard LLMs , with the same Transformer setup!
https://huggingface.co/collections/tencent/wedlm
✨ 7B/8B - Base & Instruct
✨ Apache 2.0
Post
627
Qwen just released two new model series: Qwen3-VL-Embedding & Qwen3-VL-Reranker 🚀
✨ 2B / 8B - Apache2.0
✨ 30+ languages
✨ Supported text, images, screenshots, videos, and arbitrary multimodal combinations
Qwen3-VL-Embedding: Flexible vector sizes (64–2048)
https://huggingface.co/collections/Qwen/qwen3-vl-embedding
Qwen3-VL-Reranker: Built for recall>rerank pipelines
https://huggingface.co/collections/Qwen/qwen3-vl-reranker
✨ 2B / 8B - Apache2.0
✨ 30+ languages
✨ Supported text, images, screenshots, videos, and arbitrary multimodal combinations
Qwen3-VL-Embedding: Flexible vector sizes (64–2048)
https://huggingface.co/collections/Qwen/qwen3-vl-embedding
Qwen3-VL-Reranker: Built for recall>rerank pipelines
https://huggingface.co/collections/Qwen/qwen3-vl-reranker
sergiopaniego
posted
an
update
about 16 hours ago
Post
608
New GRPO + TRL free Colab notebook out! 🔥
Fine-tune 7B+ models on T4 GPUs thanks to a ton of memory optimizations for GRPO
7B model uses only 9.2 GB VRAM (~7× reduction) 🤯
Try the notebook here 👉 https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/sft_trl_lora_qlora.ipynb
Fine-tune 7B+ models on T4 GPUs thanks to a ton of memory optimizations for GRPO
7B model uses only 9.2 GB VRAM (~7× reduction) 🤯
Try the notebook here 👉 https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/sft_trl_lora_qlora.ipynb
akhaliq
submitted
a
paper
to Daily Papers
about 17 hours ago
sergiopaniego
updated
a
dataset
about 20 hours ago
Post
249
MOSS Transcribe Diarize 🔊 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
✨ Single-pass end-to-end SATS
✨ 128k context, ~90 min audio
✨ Robust to overlap & noise
MOSS Transcribe Diarize: Accurate Transcription with Speaker Diarization (2601.01554)
OpenMOSS-Team/MOSS-transcribe-diarize
✨ Single-pass end-to-end SATS
✨ 128k context, ~90 min audio
✨ Robust to overlap & noise
- 1 reply
Post
189
Daily Papers just got an AI reading assistant 🔥
You can ask any question you want: clarify a paragraph, get a short summary...all without leaving the page!
✨ 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!
✨ Powered by HuggingChat + Hugging Face MCP server
victor
updated
a
Space
3 days ago
Post
1746
Chinese open source AI in December 2025 was about the stack coming together: open, end to end, and ready to ship 🔥
https://huggingface.co/collections/zh-ai-community/december-2025-china-open-source-highlights
✨ 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
✨ Multimodal reasoning is now default
- Z.ai GLM-4.6V
- Z.ai AutoGLM-Phone 9B
- Bytedance: Dolphin-v2
✨ 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
✨ Audio goes edge ready
- GLM-ASR-Nano / Fun-ASR-Nano
- GLM-TTS / VoxCPM1.5
- CosyVoice 0.5B
✨ The quiet backbone: data & infrastructure
- Finch (FinWorkBench)
- Tencent ARC: TimeLens-100K
- BIGAI: TongSIM-Asset
- MiniMax: VTP-Base
✨ Also congrats on Minimax and Z.ai announced their IPOs and Moonshot announced a new $500M funding round 🔥
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
✨ 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
✨ Multimodal reasoning is now default
- Z.ai GLM-4.6V
- Z.ai AutoGLM-Phone 9B
- Bytedance: Dolphin-v2
✨ 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
✨ Audio goes edge ready
- GLM-ASR-Nano / Fun-ASR-Nano
- GLM-TTS / VoxCPM1.5
- CosyVoice 0.5B
✨ The quiet backbone: data & infrastructure
- Finch (FinWorkBench)
- Tencent ARC: TimeLens-100K
- BIGAI: TongSIM-Asset
- MiniMax: VTP-Base
✨ Also congrats on Minimax and Z.ai announced their IPOs and Moonshot announced a new $500M funding round 🔥
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
2424
👉 What happened in AI in 2025? 👈
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:
1️⃣ Q1 — 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)
2️⃣ Q2 — 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
3️⃣ Q3 — "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
4️⃣ Q4 — 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 🤯
Credits
🙏 NHLOCAL for the source data https://github.com/NHLOCAL/AiTimeline
🫡 @reach-vb for the original idea, design and recipe
🙌 @ariG23498 and yours truly for compiling and verifying the 2025 edition
🥳 Here's to 2026, wishing it becomes the best year ever for open releases and on-device-first use-cases! 🥂
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:
1️⃣ Q1 — 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)
2️⃣ Q2 — 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
3️⃣ Q3 — "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
4️⃣ Q4 — 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 🤯
Credits
🙏 NHLOCAL for the source data https://github.com/NHLOCAL/AiTimeline
🫡 @reach-vb for the original idea, design and recipe
🙌 @ariG23498 and yours truly for compiling and verifying the 2025 edition
🥳 Here's to 2026, wishing it becomes the best year ever for open releases and on-device-first use-cases! 🥂
- 1 reply
Post
1864
MiniMax M2.1 blog is out🔥
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
3570
2025.1 - DeepSeek entered the scene, backed by High Flyer Quant
2026.1 - IQuest enters the game, backed by Uniquant Quant 📈 and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
✨ 40B models: Instruct / Thinking / Loop
✨ Loop = MoE-level performance with only ~5% extra training cost
✨ Native 128K context
2026.1 - IQuest enters the game, backed by Uniquant Quant 📈 and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
✨ 40B models: Instruct / Thinking / Loop
✨ Loop = MoE-level performance with only ~5% extra training cost
✨ Native 128K context
- 1 reply
sergiopaniego
posted
an
update
7 days ago
Post
2456
The list of hands-on notebooks (some beginner-friendly!) to get started with fine-tuning using TRL keeps growing!!
• SFT
• GRPO
• Tool calling & agents
• RL environments with OpenEnv
• LLMs and VLMs
✨ Many run on FREE Colab, making it super easy to get started fast!
https://github.com/huggingface/trl/tree/main/examples/notebooks
• SFT
• GRPO
• Tool calling & agents
• RL environments with OpenEnv
• LLMs and VLMs
✨ Many run on FREE Colab, making it super easy to get started fast!
https://github.com/huggingface/trl/tree/main/examples/notebooks
akhaliq
submitted
2
papers
to Daily Papers
7 days ago
AdinaY
submitted
a
paper
to Daily Papers
8 days ago
sergiopaniego
posted
an
update
10 days ago
Post
367
As the year comes to an end, it’s a good moment to catch up on some of the best long-form pieces published by the
@huggingface
team.
I’ve 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
I’ve 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
sergiopaniego
posted
an
update
11 days ago
Post
2210
This super detailed tutorial by
@Paulescu
is pure gold 🪙 "Fine-tuning a Small Language Model for browser control with GRPO and OpenEnv"
LFM2-350M ( @LiquidAI ) + BrowserGym (OpenEnv) + GRPO (TRL) for learning browser control 🤝
https://paulabartabajo.substack.com/p/fine-tuning-lfm2-350m-for-browser
LFM2-350M ( @LiquidAI ) + BrowserGym (OpenEnv) + GRPO (TRL) for learning browser control 🤝
https://paulabartabajo.substack.com/p/fine-tuning-lfm2-350m-for-browser
sergiopaniego
posted
an
update
17 days ago
Post
427
if you’re on holidays 🎄 and want some reading, here are blogs I contributed to this year:
🦄 VLMs in TRL: https://huggingface.co/blog/trl-vlm-alignment
🦖 VLMs in 2025: https://huggingface.co/blog/vlms-2025
👾 tokenization in transformers v5: https://huggingface.co/blog/tokenizers
🛸 faster transformers: https://huggingface.co/blog/faster-transformers
🦄 VLMs in TRL: https://huggingface.co/blog/trl-vlm-alignment
🦖 VLMs in 2025: https://huggingface.co/blog/vlms-2025
👾 tokenization in transformers v5: https://huggingface.co/blog/tokenizers
🛸 faster transformers: https://huggingface.co/blog/faster-transformers