eaddario (Ed Addario)

reacted to hesamation's post with ❤️ 4 months ago

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10740

a senior engineer at google just dropped a 400-page free book on docs for review: agentic design patterns.

the table of contents looks like everything you need to know about agents + code:
> advanced prompt techniques
> multi-agent patterns
> tool use and MCP
> you name it

read it here: https://docs.google.com/document/d/1rsaK53T3Lg5KoGwvf8ukOUvbELRtH-V0LnOIFDxBryE/edit?tab=t.0#heading=h.pxcur8v2qagu

you can also pre-order on Amazon (published by Springer) and the royalties goes to Save the Children: https://www.amazon.com/Agentic-Design-Patterns-Hands-Intelligent/dp/3032014018/

reacted to AdinaY's post with 👀 5 months ago

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2747

Skywork UniPic 🔥a unified autoregressive multimodal model for image understanding, generation, & editing, by Skywork 天工

Skywork/skywork-unipic-6888c0789cdb82457b2acf32

✨ 1.5 B - MIT License
✨ Runs on RTX 4090
✨ Truly unified architecture

posted an update 5 months ago

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542

Layer-wise and Pruned versions of mistralai/Devstral-Small-2505 and mistralai/Mistral-Small-3.2-24B-Instruct-2506

- Tesor-wise:
eaddario/Devstral-Small-2505-GGUF
eaddario/Mistral-Small-3.2-24B-Instruct-2506-GGUF

- Pruned:
eaddario/Devstral-Small-2505-pruned-GGUF
eaddario/Mistral-Small-3.2-24B-Instruct-2506-pruned-GGUF

Summary in the models' cards and test results in the ./scores directory. Questions/feedback is always welcomed.

reacted to AdinaY's post with 🔥 5 months ago

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1385

Seed-X 🔥 a suite of multilingual translation models released by ByteDance.

ByteDance-Seed/seed-x-6878753f2858bc17afa78543

✨ instruction/reinforcement learning/reward model
✨ Supports 28 languages, bidirectional translation
✨ Optimized for deployment & inference: 7B with mistral architecture
✨ Excels across domains: science, law, finance, literature & more

reacted to AdinaY's post with 🔥 5 months ago

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1523

M2-Reasoning🔥 a unified multimodal model for general (math, logic) and spatial (motion, physics, orientation) reasoning, released by AntGroup.

Model:
inclusionAI/M2-Reasoning
Paper:
M2-Reasoning: Empowering MLLMs with Unified General and Spatial Reasoning (2507.08306)

✨ 7B with MIT license
✨ 294K high quality samples via novel data pipeline
✨ Dynamic multi-task training to resolve task conflicts

reacted to jsulz's post with 🤯 5 months ago

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3291

We've moved over 20PB from Git LFS to Xet on the Hub without downtime or data loss. Having things "just work" on a migration of this scale is about as good as it gets.

Now, we're migrating the rest of the Hub https://huggingface.co/blog/migrating-the-hub-to-xet

But how did we get here?

In the early days of joining Hugging Face, we made a few key design decisions:
* There would be no "hard cut-over" from Git LFS to Xet
* A Xet-enabled repository should be able to contain both Xet and LFS files
* Repository migrations from LFS to Xet can run in the background without disrupting downloads or uploads

These were largely driven by our desire to ensure the community could keep working without interruption.

We cover the infrastructure making this all go in this post, specifically:
* An integral piece of infrastructure known internally as the Git LFS Bridge
* Background content migrations that run around the clock

To skip the wait and join Xet now, sign up here https://huggingface.co/join/xet

reacted to merve's post with ❤️ 5 months ago

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2485

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

reacted to danielhanchen's post with 🔥🤯 5 months ago

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3955

Made some 245GB (80% size reduction) 1.8bit quants for Kimi K2!

unsloth/Kimi-K2-Instruct-GGUF

reacted to fdaudens's post with 🔥 5 months ago

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2626

You might not have heard of Moonshot AI — but within 24 hours, their new model Kimi K2 shot to the top of Hugging Face’s trending leaderboard.

So… who are they, and why does it matter?

Had a lot of fun co-writing this blog post with @xianbao , with key insights translated from Chinese, to unpack how this startup built a model that outperforms GPT-4.1, Claude Opus, and DeepSeek V3 on several major benchmarks.

🧵 A few standout facts:

1. From zero to $3.3B in 18 months:
Founded in March 2023, Moonshot is now backed by Alibaba, Tencent, Meituan, and HongShan.

2. A CEO who thinks from the end:
Yang Zhilin (31) previously worked at Meta AI, Google Brain, and Carnegie Mellon. His vision? Nothing less than AGI — still a rare ambition among Chinese AI labs.

3. A trillion-parameter model that’s surprisingly efficient:
Kimi K2 uses a mixture-of-experts architecture (32B active params per inference) and dominates on coding/math benchmarks.

4. The secret weapon: Muon optimizer:
A new training method that doubles efficiency, cuts memory in half, and ran 15.5T tokens with zero failures. Big implications.

Most importantly, their move from closed to open source signals a broader shift in China’s AI scene — following Baidu’s pivot. But as Yang puts it: “Users are the only real leaderboard.”

👇 Check out the full post to explore what Kimi K2 can do, how to try it, and why it matters for the future of open-source LLMs:
https://huggingface.co/blog/fdaudens/moonshot-ai-kimi-k2-explained

reacted to merve's post with 🤗❤️ 5 months ago

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2679

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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reacted to danieldk's post with 🤗 5 months ago

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2056

kernels 0.8.0 is out: https://github.com/huggingface/kernels/releases/tag/v0.8.0

This release refines kernel selection in the kernelize function:

• You can now register kernels for certain CUDA capability ranges.
• Rather than doing exact mating of modes, fall back to other compatible modes. If you are kernelizing for inference, but you only registered a training + torch.compile kernel, it will use that kernel since it is compatible with inference as well.

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reacted to AdinaY's post with 👀 6 months ago

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370

Skywork-Reward-V2🔥 Reward models by Skywork AI.

Skywork/skywork-reward-v2-685cc86ce5d9c9e4be500c84

✨ 0.6B - 8B
✨ Trained on 26M human-LLM preference pairs
✨ 0.6B > 27B in many tasks

reacted to mlabonne's post with 👍 6 months ago

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5684

LiquidAI open-sources a new generation of edge LLMs! 🥳

Based on a new hybrid architecture, these 350M, 700M, and 1.2B models are both fast and performant, ideal for on-device deployment.

I recommend fine-tuning them to power your next edge application. We already provide Colab notebooks to guide you. More to come soon!

📝 Blog post: https://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models
🤗 Models: LiquidAI/lfm2-686d721927015b2ad73eaa38

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posted an update 6 months ago

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Layer-wise and Pruned versions of cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition

* Tesor-wise: eaddario/Dolphin-Mistral-24B-Venice-Edition-GGUF

* Pruned: eaddario/Dolphin-Mistral-24B-Venice-Edition-pruned-GGUF

Summary in the model's card and test results in the ./scores directory. Questions/feedback is always welcomed.

reacted to AdinaY's post with 🚀 6 months ago

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2017

The Chinese Open Source Heatmap is live 🔥
You can now track the companies/ research labs/ communities powering China’s open source AI movement.

zh-ai-community/model-release-heatmap-zh

Some highlights:

✨Giant Tech are investing more in open source.
-Alibaba: Full stack open ecosystem
-Tecent: Hunyuan image/video/3D
-Bytedance: Catching up fast in 2025
-Baidu: New player in open LLM

✨New players emerging post–DeepSeek moment.
-Xiaomi
-Red Note
-Bilibili
-MiniMax
-Moonshot AI

✨Startup list is shifting fast! Those who find a direction aligned with their strengths are the ones who endure.
-DeepSeek
-MiniMax
-StepFun
-Moonshot AI
-Zhipu AI
-OpenBMB

✨Research Lab & Community are making key contributions.
-BAAI
-Shanghai AI Lab
-OpenMOSS
-MAP

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reacted to stefan-french's post with 👍 6 months ago

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2198

🚀 We just released the WASM Agent Blueprint!

It shows how to run Python-based AI agents directly in your browser using WebAssembly (WASM) via Pyodide and the OpenAI Agents SDK. There are no installs, it runs straight in your browser.

Try it out and explore the code 👉 https://github.com/mozilla-ai/wasm-agents-blueprint

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reacted to bartowski's post with 👍🤗 6 months ago

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64770

Was going to post this on /r/LocalLLaMa, but apparently it's without moderation at this time :')

bartowski/mistralai_Mistral-Small-3.2-24B-Instruct-2506-GGUF

Was able to use previous mistral chat templates, some hints from Qwen templates, and Claude to piece together a seemingly working chat template, tested it with llama.cpp server and got perfect results, though lmstudio still seems to be struggling for some reason (don't know how to specify a jinja file there)

Outlined the details of the script and results in my llama.cpp PR to add the jinja template:

https://github.com/ggml-org/llama.cpp/pull/14349

Start server with a command like this:

./llama-server -m /models/mistralai_Mistral-Small-3.2-24B-Instruct-2506-Q4_K_M.gguf --jinja --chat-template-file /models/Mistral-Small-3.2-24B-Instruct-2506.jinja

and it should be perfect! Hoping it'll work for ALL tools if lmstudio gets an update or something, not just llama.cpp, but very happy to see it works flawlessly in llama.cpp

In the meantime, will try to open a PR to minja to make the strftime work, but no promises :)

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