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#apache-2-0

@shedntcare_: BREAKING: Alibaba just dropped a vector database that could change RAG forever. Meet Zvec No server. No Docker. No clou…

X AI KOLs Timeline · yesterday Cached

Alibaba released Zvec, a fully open-source vector database (Apache 2.0) that can be installed via pip and supports dense, sparse, and hybrid search for RAG applications, processing billions of vectors in milliseconds.

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#apache-2-0

@JayAlammar: This year, the local model is becoming critical infrastructure at every scale: - the individual (privacy, cost) - the c…

X AI KOLs Timeline · 6d ago Cached

Jay Alammar highlights how local AI models are becoming critical infrastructure at all scales, referencing a writeup by Sebastian Raschka that covers setting up local models, with a mention of Cohere's North Mini Code (Nomico) released under Apache 2.0.

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#apache-2-0

@omarsar0: https://x.com/omarsar0/status/2070884837372703196

X AI KOLs Following · 2026-06-27 Cached

Vercel released Eve, an open-source framework for building and scaling AI agents using a filesystem-first approach, treating agents as directories of files. The framework provides durable sessions, sandboxing, approvals, tracing, and evals out of the box.

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#apache-2-0

Introducing North Mini Code: Cohere’s First Model For Developers

Hugging Face Blog · 2026-06-09 Cached

Cohere released North Mini Code, a 30B-parameter Mixture-of-Experts model with 3B active parameters under Apache 2.0, optimized for agentic software engineering tasks and outperforming similar-sized models on coding benchmarks.

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#apache-2-0

Re. what ever happened to Cohere’s Command-A series of models?

Reddit r/LocalLLaMA · 2026-05-20

Cohere launches Command A+, its first Mixture-of-Experts model, released under Apache 2.0 with efficient quantization for 1-2 GPU deployment, prioritizing practicality and open access for developers.

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#apache-2-0

@AdinaYakup: Intern S2 preview A scientific multimodal model from Shanghai AI Lab @intern_lm 35B matches their own 1T model on scien…

X AI KOLs Following · 2026-05-15

Shanghai AI Lab releases Intern S2, a 35B scientific multimodal model that matches their own 1T model on science benchmarks, introducing Task Scaling as a new scaling dimension. Licensed under Apache 2.0.

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#apache-2-0

Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality

Hugging Face Blog · 2026-05-14 Cached

IBM releases Granite Embedding Multilingual R2, a family of open-source multilingual embedding models under Apache 2.0, featuring a compact 97M model that achieves best-in-class sub-100M retrieval quality and a 311M model with Matryoshka embeddings, both supporting 32K context and 200+ languages.

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#apache-2-0

@QuixiAI: What a beautiful release! Perfectly sized, FAST, and Apache 2.0. And American, for those customers who are picky about …

X AI KOLs Following · 2026-05-09 Cached

A user praises a newly released AI model from QuixiAI, highlighting its speed, Apache 2.0 license, and American origin.

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#apache-2-0

Granite 4.1 LLMs: How They’re Built

Hugging Face Blog · 2026-04-29 Cached

This article details the technical architecture and training pipeline of IBM's Granite 4.1 LLMs, covering pre-training, SFT, and RL stages. It highlights that the 8B dense model outperforms larger MoE counterparts and notes the release under Apache 2.0 license.

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#apache-2-0

poolside/Laguna-XS.2

Hugging Face Models Trending · 2026-04-23 Cached

Poolside releases Laguna XS.2, a 33B parameter MoE model with 3B activated parameters designed for agentic coding and local deployment on Macs with 36GB RAM.

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#apache-2-0

ibm-granite/granite-4.1-8b · Hugging Face

Reddit r/LocalLLaMA · 2026-04-21 Cached

IBM releases Granite-4.1-8B, an Apache 2.0 licensed 8B parameter long-context instruct model with enhanced tool-calling and multilingual support.

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