← heapsort-ai

open-source AI

69 items

ARTICLEDEV.to AI·4/17/2026

How I Use OpenCode, Oh-My-OpenCode-Slim, and OpenSpec to Build My Own AI Coding Environment

The author shares their experience building a custom AI coding environment using open-source tools like OpenCode, Oh-My-OpenCode-Slim, and OpenSpec as an alternative to costly proprietary solutions. They argue that frontier open-source models, when properly utilized with good tooling and specifications, can handle daily coding tasks effectively, emphasizing community contributions.

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NEWS↑ trendingReddit r/LocalLLaMA·4/16/2026

Qwen3.6-35B-A3B released!

The Qwen3.6-35B-A3B model has been released and open-sourced, featuring a sparse MoE architecture with 35B total parameters and 3B active, under an Apache 2.0 license. It excels in agentic coding, multimodal perception, and reasoning, touted as efficient, powerful, and versatile.

Qwen3.6-35B-A3B released!
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ARTICLE↑ trendingReddit r/LocalLLaMA·4/20/2026

To Beat China, Embrace Open-Source AI (WSJ)

This WSJ article argues that for the United States to outperform China in the field of artificial intelligence, it must embrace and promote the development of open-source AI. The strategy aims to boost innovation and security, positioning itself against the more controlled approach of other nations.

To Beat China, Embrace Open-Source AI (WSJ)
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NEWS↑ trendingReddit r/LocalLLaMA·18d ago

DeepSeek is pushing forward with $10.29 billion financing round, with Liang Wenfeng committing to continue developing open-source AI models rather than pursuing short-term commercialization goals

DeepSeek is reportedly advancing with a significant $10.29 billion financing round. Its founder, Liang Wenfeng, has affirmed the company's commitment to developing open-source AI models and achieving AGI, prioritizing long-term goals over immediate commercialization.

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ARTICLE↑ trendingReddit r/MachineLearning·4/26/2026

Why do only big ML labs dominate widely-used models despite many open-source pretrained models smaller labs could do RL on? [D]

The content questions why large AI labs dominate widely-used models like GPT and Claude, despite the existence of many open-source pretrained models of similar scale. The author suggests that Reinforcement Learning from Human Feedback (RLHF) is key to the superiority of these models and wonders why it wouldn't be more accessible for smaller labs.

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ARTICLE↑ trendingReddit r/LocalLLaMA·4/13/2026

Best Local LLMs - Apr 2026

This article discusses the best local LLMs in April 2026, highlighting new releases like Qwen3.5, Gemma4, GLM-5.1, Minimax-M2.7, and PrismML Bonsai. It invites users to share detailed experiences with open-weights models to aid in evaluation.

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NEWS↑ trendingReddit r/LocalLLaMA·4/20/2026

ubergarm/Kimi-K2.6-GGUF Q4_X now available

User ubergarm/VoidAlchemy announced the availability of the "Q4_X" quantized version of the Kimi-K2.6-GGUF model, thanking jukofyork and AesSedai for their tips on patching and quantization. This model requires about 584GB RAM+VRAM and runs on both ik_llama.cpp and mainline llama.cpp, with plans for smaller quants and imatrix info to follow.

ubergarm/Kimi-K2.6-GGUF Q4_X now available
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ARTICLE↑ trendingReddit r/LocalLLaMA·4/19/2026

Is anyone getting real coding work done with Qwen3.6-35B-A3B-UD-Q4_K_M on a 32GB Mac in opencode, claude code or similar?

A user is attempting to perform real coding tasks with Qwen3.6-35B on a 32GB M2 Macbook Pro, encountering memory exhaustion and context window management issues. Despite the model identifying the essence of a bug, it struggles with implementation as critical information is lost during context compaction.

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