Nishith Jain's picture

Nishith Jain

KingNish

AI & ML interests

AI is fun actually. Busy till June 2025.

Recent Activity

Organizations

Wikimedia's profile picture OpenGVLab's profile picture Blog-explorers's profile picture MultiπŸ€–Transformers's profile picture The Collectionists's profile picture HelpingAI's profile picture ZeroGPU Explorers's profile picture Project Fluently's profile picture Poscye's profile picture INNOVA AI's profile picture Narra's profile picture Social Post Explorers's profile picture Cognitive Computations's profile picture Dev Mode Explorers's profile picture Stable Diffusion Community (Unofficial, Non-profit)'s profile picture ONNX Community's profile picture Hugging Face Discord Community's profile picture Nerdy Face's profile picture grafite's profile picture None yet's profile picture Project R's profile picture

KingNish's activity

reacted to fdaudens's post with πŸ”₯ 33 minutes ago
view post
Post
46
What if AI becomes as ubiquitous as the internet, but runs locally and transparently on our devices?

Fascinating TED talk by @thomwolf on open source AI and its future impact.

Imagine this for AI: instead of black box models running in distant data centers, we get transparent AI that runs locally on our phones and laptops, often without needing internet access. If the original team moves on? No problem - resilience is one of the beauties of open source. Anyone (companies, collectives, or individuals) can adapt and fix these models.

This is a compelling vision of AI's future that solves many of today's concerns around AI transparency and centralized control.

Watch the full talk here: https://www.ted.com/talks/thomas_wolf_what_if_ai_just_works
upvoted an article 2 days ago
view article
Article

FastRTC: The Real-Time Communication Library for Python

β€’ 96
reacted to ehristoforu's post with πŸ”₯ 3 days ago
view post
Post
2534
Introducing our first standalone model – FluentlyLM Prinum

Introducing the first standalone model from Project Fluently LM! We worked on it for several months, used different approaches and eventually found the optimal one.

General characteristics:
- Model type: Causal language models (QwenForCausalLM, LM Transformer)
- Number of parameters: 32.5B
- Number of parameters (not embedded): 31.0B
- Number of layers: 64
- Context: 131,072 tokens
- Language(s) (NLP): English, French, Spanish, Russian, Chinese, Japanese, Persian (officially supported)
- License: MIT

Creation strategy:
The basis of the strategy is shown in Pic. 2.
We used Axolotl & Unsloth for SFT-finetuning with PEFT LoRA (rank=64, alpha=64) and Mergekit for SLERP and TIES mergers.

Evolution:
πŸ† 12th place in the Open LLM Leaderboard ( open-llm-leaderboard/open_llm_leaderboard) (21.02.2025)

Detailed results and comparisons are presented in Pic. 3.

Links:
- Model: fluently-lm/FluentlyLM-Prinum
- GGUF version: mradermacher/FluentlyLM-Prinum-GGUF
- Demo on ZeroGPU: ehristoforu/FluentlyLM-Prinum-demo
  • 4 replies
Β·
upvoted an article 4 days ago
view article
Article

Remote VAEs for decoding with HF endpoints πŸ€—

β€’ 30
upvoted an article 5 days ago
view article
Article

SmolVLM2: Bringing Video Understanding to Every Device

β€’ 175
reacted to lysandre's post with ❀️ 7 days ago
view post
Post
5236
SmolVLM-2 and SigLIP-2 are now part of transformers in dedicated releases!

They're added on top of the v4.49.0 release, and can be installed from the following tags: v4.49.0-SmolVLM-2 and v4.49.0-SigLIP-2.

This marks a new beginning for the release process of transformers. For the past five years, we've been doing monthly releases featuring many models (v4.49.0, the latest release, features 9 new architectures).

Starting with SmolVLM-2 & SigLIP2, we'll now additionally release tags supporting new models on a stable branch. These models are therefore directly available for use by installing from the tag itself. These tags will continue to be updated with fixes applied to these models.

Going forward, continue expecting software releases following semantic versioning: v4.50.0 will have ~10 new architectures compared to v4.49.0, as well as a myriad of new features, improvements and bug fixes. Accompanying these software releases, we'll release tags offering brand new models as fast as possible, to make them accessible to all immediately.
  • 1 reply
Β·