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merve 
posted an update about 4 hours ago
merve 
posted an update 1 day ago
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past week in open AI was insane 🔥 here's some of picks, find more here merve/releases-july-25-688768ca47fe3693407e02d1

💬 LLMs & VLMs
> Qwen/Qwen3-235B-A22B-Thinking-2507 had a new update (OS)
> Qwen/Qwen3-Coder-480B-A35B-Instruct is out with 480B total 35B active params 🤯 (OS)
> AllenAI dropped an update to allenai/olmOCR-7B-0725 📝
> InternLM released internlm/Intern-S1 - 235B Qwen3 MoE + 6B InternViT encoder (OS)
> OmniSVG/OmniSVG is a new SVG generation VLM (OS)

🖼️ image/video/3D generation
> WanAI released Wan2.2 series - both T2V and I2V 14B models for high-quality video generation (OS) multimodalart/wan-22-688767e313337b434ed55112
> Tencent dropped tencent/HunyuanWorld-1 - image-to-3D scene generation model
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merve 
posted an update 3 days ago
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🤯 241B VLM with apache-2.0 license internlm/Intern-S1

internlm released Intern-S1: multimodal reasoning model based on 235B MoE Qwen3 and 6B InternViT 😍

benchmarks look great (👑 best model ✅ best open model)
nroggendorff 
posted an update 5 days ago
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Is it possible to apply for a resources grant for a whole organization, or do you need to apply for each repo individually? I think it'd be pretty cool to have something like the discord-community org for None-yet in terms of resource allocation (multiple spaces running on cpu upgrade.

I realize the scale of the community is just a tiny bit different, and that having this for a public org (one where anyone can join) isn't super fiscally responsible, but we'll be good. I promise we will! Right, guys?
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merve 
posted an update 8 days ago
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so many open LLMs and image LoRAs dropped past week, here's some picks for you 🫡 merve/releases-july-18-687e3fbd2ab9b39c51f9238b

LLMs
> ByteDance released a bunch of translation models called Seed-X-RM (7B) ByteDance-Seed/Seed-X-RM-7B
> NVIDIA released reasoning models of which 32B surpassing the giant Qwen3-235B with cc-by-4.0 license 👏 nvidia/openreasoning-nemotron-687730dae0170059860f1f01
> LG released a new EXAONE model (32B) LGAI-EXAONE/EXAONE-4.0-32B

VLMs/any-to-any
> vidore/colqwen-omni-v0.1 is a new any-to-any retriever (MIT)
> HiDream-ai/HiDream-E1-1 is image+text in image+text out model (MIT)

LoRAs
> There's a bunch of LoRAs based on Flux Kontext, gotta check out the collection 🤠
merve 
posted an update 10 days ago
merve 
posted an update 14 days ago
merve 
posted an update 15 days ago
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2581
Fine-tune Gemma3n on videos with audios inside with Colab A100 🔥
Just dropped the notebook where you can learn how to fine-tune Gemma3n on images+audio+text at the same time!

keep in mind, it's made for educational purposes 🫡 we do LoRA, audio resampling & video downsampling to be able to train <40GB VRAM

stretch modalities and unfreeze layers as you wish! 🙏🏻 merve/smol-vision
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jasoncorkill 
posted an update 16 days ago
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"Why did the bee get married?"

"Because he found his honey!"

This was the "funniest" joke out of 10'000 jokes we generated with LLMs. With 68% of respondents rating it as "funny".

Original jokes are particularly hard for LLMs, as jokes are very nuanced and a lot of context is needed to understand if something is "funny". Something that can only reliably be measured using humans.

LLMs are not equally good at generating jokes in every language. Generated English jokes turned out to be way funnier than the Japanese ones. 46% of English-speaking voters on average found the generated joke funny. The same statistic for other languages:

Vietnamese: 44%
Portuguese: 40%
Arabic: 37%
Japanese: 28%

There is not much variance in generation quality among models for any fixed language. But still Claude Sonnet 4 slightly outperforms others in Vietnamese, Arabic and Japanese and Gemini 2.5 Flash in Portuguese and English

We have release the 1 Million (!) native speaker ratings and the 10'000 jokes as a dataset for anyone to use:
Rapidata/multilingual-llm-jokes-4o-claude-gemini
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merve 
posted an update 17 days ago
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past week had huuuge releases 💗
here's our picks 🔥 find more models, datasets, demos here merve/releases-july-11-68750452c358c98b0fa663f7

> moonshotai/Kimi-K2-Instruct is the new sota LLM with 1T total 32B active parameters 🤯

> HuggingFaceTB/SmolLM3-3B is the new best LM for it's size, offers thinking mode 💭 as well as the dataset HuggingFaceTB/smoltalk2

> Alibaba-NLP/WebSailor-3B is the new agentic LLM for complex browsing

> Google DeepMind released medical vision LMs with an agentic doctor-patient app google/medgemma-release-680aade845f90bec6a3f60c4

> fal released a LoRA to improve details on face images fal/Realism-Detailer-Kontext-Dev-LoRA
nroggendorff 
posted an update 21 days ago
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Since when are H200s on ZeroGPU?
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merve 
posted an update 22 days ago
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GitHub refuses to render notebooks for a long time now 💔

so smol-vision now lives in Hugging Face model repository 🤗 merve/smol-vision
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merve 
posted an update 23 days ago
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ByteDance released Tar 1.5B and 7B: image-text in image-text out models, fully open-source 👏 ByteDance-Seed/tar-6864cf0d9fe59a3b91cc4260

They have an image tokenizer unified with text, and they de-tokenize using either of two models (LLM and diffusion)
The model is actually a full LLM (Qwen2), the tokenizer converts image tokens 🤯
chansung 
posted an update 24 days ago
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3674
YAML engineering becomes more and more important than ever from infra provisioning to model training (recipes).

Here, I built a simple editor first for @dstackai , and I will share the live endpoint this week. Let me know what you think about this approach.

Based on this approach, if people think this is useful, I am going to do the same thing for the LLM training recipes for popular frameworks such as Hugging Face open-r1, Axolotl, and so on. Let me hear.
merve 
posted an update 24 days ago
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Huge drops in open AI past week!
Find more models, datasets, demos here merve/releases-july-4-686bcc54ed7c45c341fbf654
Some of our picks 🫡
⏯️ BAAI/MTVCraft is a new Veo3-like text-to-video model, demo is here BAAI/MTVCraft
🧑🏻‍💻 apple/diffucoder-6868139f56672ae046fe04e8 is a new family of diffusion LLMs (7B base and instruct) for coding
🗣️ kyutai/tts-1.6b-en_fr is a new small TTS model for English and France
👀 aharley/alltracker is a new pixel tracking model by Stanford, demo is here aharley/alltracker
📖 racineai/OGC_MEGA_MultiDomain_DocRetrieval is a new large visual document retrieval dataset
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merve 
posted an update 29 days ago
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SOOOO MANY MODEL RELEASES 😍
Here's some picks from past week 🤗

> ByteDance/XVerse is a new identity preserving image generation model 🖼️
> google/gemma-3n-E4B-it, any-to-text model supported by transformers 🤗
> nvidia/llama-nemoretriever-colembed-3b-v1 two new state-of-the-art visual document retrievers 📑
> New version of Dia TTS model is up nari-labs/Dia-1.6B-0626
> Black Forest Labs releases Kontext benchmark black-forest-labs/kontext-bench

Find more here merve/releases-june-27-6864e8eb17f7e3a8b444083c
merve 
posted an update 29 days ago
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visual reasoning is now in transformers 🔥
https://huggingface.co/THUDM/GLM-4.1V-9B-Thinking is just released and merged into transformers, we gave it a vibe test run 🤠

it's very good, comes with 64k context length and MIT license 😍
it supports 4k image tokens and any aspect ratio as well!
Notebook: http://colab.research.google.com/drive/1atODIiV57hOZLv16Bjzwd6fwx0yoTorj?usp=sharing
Demo: https://huggingface.co/spaces/THUDM/GLM-4.1V-9B-Thinking-Demo
Nymbo 
posted an update about 1 month ago
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Anyone know how to reset Claude web's MCP config? I connected mine when the HF MCP first released with just the default example spaces added. I added lots of other MCP spaces but Claude.ai doesn't update the available tools... "Disconnecting" the HF integration does nothing, deleting it and adding it again does nothing.

Refreshing tools works fine in VS Code because I can manually restart it in mcp.json, but claude.ai has no such option. Anyone got any ideas?
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