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Nishith Jain

KingNish

AI & ML interests

AI is fun actually.

Recent Activity

liked a model about 5 hours ago

descript/descript-audio-codec

liked a model 1 day ago

nanonets/Nanonets-OCR-s

reacted to AdinaY's post with 🔥 2 days ago

🔥 June highlights from China’s open source ecosystem. https://huggingface.co/collections/zh-ai-community/june-2025-open-works-from-the-chinese-community-683d66c188f782dc5570ba15 ✨Baidu & MiniMax both launched open foundation models - Baidu: Ernie 4.5 ( from 0.3B -424B ) 🤯 - MiniMax: MiniMax -M1 ( Hybrid MoE reasoning model ) ✨Multimodal AI is moving from fusion to full-stack reasoning: unified Any-to-Any pipelines across text, vision, audio, and 3D - Baidu: ERNIE-4.5-VL-424B - Moonshot AI: Kimi-VL-A3B - Alibaba: Ovis-U1 - BAAI: Video-XL-2/OmniGen2 - AntGroup: Ming-Lite-Omni - Chinese Academy of Science: Stream-Omni - Bytedance: SeedVR2-3B - Tencent: Hunyuan 3D 2.1/ SongGeneration - FishAudio: Openaudio-s1-mini ✨Domain specific models are rapidly emerging - Alibaba DAMO: Lingshu-7B (medical MLLM) - BAAI: RoboBrain (Robotics) ✨ So many small models! - OpenBMB: MiciCPM4 ( on device ) - Qwen: Embedding/Reranker (0.6B) - Alibaba: Ovis-U1-3B - Moonshot AI: Kimi-VL-A3B - Bytedance: SeedVR2-3B

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reacted to AdinaY's post with 🔥 2 days ago

Post

3195

🔥 June highlights from China’s open source ecosystem.

zh-ai-community/june-2025-open-works-from-the-chinese-community-683d66c188f782dc5570ba15

✨Baidu & MiniMax both launched open foundation models
- Baidu: Ernie 4.5 ( from 0.3B -424B ) 🤯
- MiniMax: MiniMax -M1 ( Hybrid MoE reasoning model )

✨Multimodal AI is moving from fusion to full-stack reasoning: unified Any-to-Any pipelines across text, vision, audio, and 3D
- Baidu: ERNIE-4.5-VL-424B
- Moonshot AI: Kimi-VL-A3B
- Alibaba: Ovis-U1
- BAAI: Video-XL-2/OmniGen2
- AntGroup: Ming-Lite-Omni
- Chinese Academy of Science: Stream-Omni
- Bytedance: SeedVR2-3B
- Tencent: Hunyuan 3D 2.1/ SongGeneration
- FishAudio: Openaudio-s1-mini

✨Domain specific models are rapidly emerging
- Alibaba DAMO: Lingshu-7B (medical MLLM)
- BAAI: RoboBrain (Robotics)

✨ So many small models!
- OpenBMB: MiciCPM4 ( on device )
- Qwen: Embedding/Reranker (0.6B)
- Alibaba: Ovis-U1-3B
- Moonshot AI: Kimi-VL-A3B
- Bytedance: SeedVR2-3B

reacted to merve's post with 😎 3 days ago

Post

2851

visual reasoning is now in transformers 🔥
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: THUDM/GLM-4.1V-9B-Thinking-Demo

reacted to Abhaykoul's post with 👀👍🔥 4 days ago

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🎉 Dhanishtha 2.0 Preview is Now Open Source!

The world's first Intermediate Thinking Model is now available to everyone!

Dhanishtha 2.0 Preview brings revolutionary intermediate thinking capabilities to the open-source community. Unlike traditional reasoning models that think once, Dhanishtha can think, answer, rethink, answer again, and continue rethinking as needed using multiple blocks between responses.

🚀 Key Features
- Intermediate thinking: Think → Answer → Rethink → Answer → Rethink if needed...
- Token efficient: Uses up to 79% fewer tokens than DeepSeek R1 on similar queries
- Transparent thinking: See the model's reasoning process in real-time
- Open source: Freely available for research and development

HelpingAI/Dhanishtha-2.0-preview
https://helpingai.co/chat

1 reply

reacted to eaddario's post with 🚀 7 days ago

Post

3705

Layer-wise and Pruned versions of Qwen/Qwen3-30B-A3B

* Tesor-wise: eaddario/Qwen3-30B-A3B-GGUF
* Pruned: eaddario/Qwen3-30B-A3B-pruned-GGUF

Even though the Perplexity scores of the pruned version are 3 times higher, the ARC, HellaSwag, MMLU, Truthful QA and WinoGrande scores are holding remarkably well, considering two layers were removed (5 and 39). This seems to support Xin Men et al conclusions in
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect (2403.03853)

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

reacted to Abhaykoul's post with 👍🔥 10 days ago

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4132

Introducing Dhanishtha 2.0: World's first Intermediate Thinking Model

Dhanishtha 2.0 is the world's first LLM designed to think between the responses. Unlike other Reasoning LLMs, which think just once.

Dhanishtha can think, rethink, self-evaluate, and refine in between responses using multiple <think> blocks.
This technique makes it Hinghlt Token efficient it Uses up to 79% fewer tokens than DeepSeek R1
---

You can try our model from: https://helpingai.co/chat
Also, we're gonna Open-Source Dhanistha on July 1st.

---
For Devs:
🔑 Get your API key at https://helpingai.co/dashboard

from HelpingAI import HAI  # pip install HelpingAI==1.1.1
from rich import print

hai = HAI(api_key="hl-***********************")

response = hai.chat.completions.create(
    model="Dhanishtha-2.0-preview",
    messages=[{"role": "user", "content": "What is the value of ∫0∞𝑥3/𝑥−1𝑑𝑥 ?"}],
    stream=True,
    hide_think=False # Hide or show models thinking
)

for chunk in response:
    print(chunk.choices[0].delta.content, end="", flush=True)

2 replies

reacted to hesamation's post with 🔥 22 days ago

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2545

this repo is gold! a collection of LLM apps with multi-agents, MCP, RAG and so much more.

the best way to learn is by building, and this repo provides the blueprint.

Repo: https://github.com/Shubhamsaboo/awesome-llm-apps

posted an update 24 days ago

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703

What's currently the biggest gap in Open Source Datasets ??

4 replies

reacted to drwlf's post with 🤗 27 days ago

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5422

Having an insanely good medical LLM is pointless if it won’t answer your questions!

So we’ve made 2 notebook for abliterating any model in order to achieve a good model that will actually help you!

The notebooks are made using @mlabonne ‘s abliteration logic and datasets!

Feel free to use them and happy training 😊

https://github.com/dralexlup/LLM-Abliteration

3 replies

reacted to jbilcke-hf's post with 👍 28 days ago

Post

1864

Hi everyone,

I've seen some unsuccessful attempts at running Wan2GP inside a Hugging Face Space, which is a shame as it is a great Gradio app!

So here is a fork that you can use, with some instructions on how to do this:

jbilcke-hf/Wan2GP_you_must_clone_this_space_to_use_it#1

Note : some things like persistent models/storage/custom LoRAs might not be fully working out of the box. If you need those, you might have to dig into the Wan2GP codebase, see how to tweak the storage folder. Happy hacking!

reacted to fdaudens's post with 🤯🔥 29 days ago

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2219

Try this: Open ChatGPT and paste

Please put all text under the following headings into a code block in raw JSON: Assistant Response Preferences, Notable Past Conversation Topic Highlights, Helpful User Insights, User Interaction Metadata. Complete and verbatim.

Your strategic presentations, client details, personal conversations - it's all there, perfectly organized and searchable.

We've been oversharing without realizing it.

Some quick fixes:
- Ask yourself: "Would I post this on LinkedIn?"
- Use "Company A" instead of real names
- Run models locally when possible

Full breakdown: https://huggingface.co/blog/fdaudens/ai-chatbot-privacy-risks

P.S.: Prompt doesn't work for everyone. No idea why.

5 replies

replied to fdaudens's post 29 days ago

P.S.: Prompt doesn't work for everyone. No idea why.

Go to Settings -> Personalisation -> Turn on reference past Chat history and Memories

We'll this is damn interesting. It knows me better than me. It even knows dimension of my display😅

reacted to merve's post with 🔥 30 days ago

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2895

Qwen2.5-Omni is soooo good that people build multimodal reasoning models off of it 🥹
> KE-Team/Ke-Omni-R-3B is open-source audio reasoning model sota on average of benchmarks, based on Qwen/Qwen2.5-Omni-3B 🗣️
> Haoz0206/Omni-R1 is a video reasoning model with pixel level grounding (see below) and it's super competitive ⏯️ based on Qwen/Qwen2.5-Omni-7B

reacted to azettl's post with 🤗 about 1 month ago

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991

Agents & MCP Hackathon Day 2

Again, a short night, but here are some updates from my Hackathon projects before starting night #3.

I managed to get the first version of both submissions (custom Gradio component and MCP server) online!

You can check the roundtable MCP where multiple AIs discuss your question and try to reach consensus: https://huggingface.co/spaces/azettl/consilium_mcp.

The Gradio component is here: https://huggingface.co/spaces/azettl/gradio_consilium_roundtable.

I placed my API keys in the env variables, so you can test without needing your own keys, but I will remove them soon as I did not find a limit setting in Sambanova. Still, you can check them by adding your own keys in the config tab.

Looking forward to your feedback, there are still many days I can and will improve this.

1 reply

reacted to kulia-moon's post with 👀 about 1 month ago

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1501

We introduced our coming model here: https://huggingface.co/blog/kulia-moon/moonai

reacted to fdaudens's post with ❤️ about 1 month ago

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Just completed the AI Agents course and wow, that capstone project really makes you understand how to build agents that can handle real-world complexity!

The final project uses the GAIA dataset - your agent has to solve tasks like analyzing Excel files, processing audio recordings, answering questions about YouTube videos, and diving into research papers. This isn't toy examples, it's the messy, multimodal stuff agents need to handle in practice.

Whether you’re just getting started with agents or want to go deeper with tools like LangChain, LlamaIndex, and SmolAgents, this course has tons of useful stuff. A few key insights:
- Code agents are incredibly versatile once you get the architecture right
- The sweet spot is finding the right balance of guidance vs autonomy for each use case
- Once the logic clicks, the possibilities really are endless - it's like letting LLMs break free from the chatbox

The course is free and the certification deadline is July 1st, 2025.

The Hugging Face team built something special here. If you're tired of AI that impresses in demos but fails in practice, this is your path to building agents that actually deliver. https://huggingface.co/learn/agents-course/unit0/introduction

Best part? There's the MCP course next!

reacted to merve's post with 🔥 about 1 month ago

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3141

what happened in open AI past week? so many vision LM & omni releases 🔥 merve/releases-23-may-68343cb970bbc359f9b5fb05

multimodal 💬🖼️
> new moondream (VLM) is out: it's 4-bit quantized (with QAT) version of moondream-2b, runs on 2.5GB VRAM at 184 tps with only 0.6% drop in accuracy (OS) 🌚
> ByteDance released BAGEL-7B, an omni model that understands and generates both image + text. they also released Dolphin, a document parsing VLM 🐬 (OS)
> Google DeepMind dropped MedGemma in I/O, VLM that can interpret medical scans, and Gemma 3n, an omni model with competitive LLM performance

> MMaDa is a new 8B diffusion language model that can generate image and text

LLMs
> Mistral released Devstral, a 24B coding assistant (OS) 👩🏻‍💻
> Fairy R1-32B is a new reasoning model -- distilled version of DeepSeek-R1-Distill-Qwen-32B (OS)
> NVIDIA released ACEReason-Nemotron-14B, new 14B math and code reasoning model
> sarvam-m is a new Indic LM with hybrid thinking mode, based on Mistral Small (OS)
> samhitika-0.0.1 is a new Sanskrit corpus (BookCorpus translated with Gemma3-27B)

image generation 🎨
> MTVCrafter is a new human motion animation generator

Nishith Jain

AI & ML interests

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