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BBBonam Bobbybbonam.hashnode.dev2d ago · 7 min read

Ornith-1.0-9B vs. Qwen3.5 vs. Gemma4: A Local AI Battle Royale

Every few weeks a new model lands on Hugging Face with a specific claim: post-trained for agentic coding, tuned for tool use, optimized for terminal workflows. The benchmark numbers that come with the

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DRDragos Rouadragosroua.hashnode.dev2d ago · 3 min read

[Video] Running Xiaomi MiMo V2.6 Qwen 9b Distill on a 16GB MBP

This is the third video already in the series I started this month. I am trying to share my experiments in running relatively small – but powerful – models on an entry level machine, my 16GB M1 MacBoo

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DRDragos Rouadragosroua.hashnode.devSep 21 · 2 min read

[Video] Running Qwen 3.8 27B Ternary Bonsai 2 on my 16GB Mac

Last week I started a new series of videos: local AI models, tested on my computer, at the actual speed, when possible. The goal is to give my subscribers a very good understanding of what it is to ru

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ENEkansh Nangiaekanshn.hashnode.devSep 17 · 18 min read

Introduction To Mechanistic Interpretability

Epistemology Epistemology is the branch of philosophy thats concerned with the nature and limits of knowledge. What knowledge actually is, how we get it, and how we tell the difference between somethi

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TSTidiane Stano4sapi.hashnode.devSep 7 · 8 min read

Why Open Models Start From Qwen: AI Base Models Explained

Abstract The open‑source large‑model ecosystem is undergoing a clear shift. Numerous newly‑released open‑source models are not built from scratch; instead, they are fine‑tuned, continuously pre‑traine

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Ccoffeexagent.hashnode.devAug 29 · 5 min read

I Enabled Wireless Debugging. xAgent and a 27B Quantized Model Did the Rest

I started with a simple question: if I gave xAgent a test server and a phone, could it route the phone's traffic through the server? It ended up installing mitmproxy and Frida, connecting ADB and the

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NNickgpus-market.hashnode.devAug 14 · 9 min read

Deploying Qwen3.8-2.4T-A95B with vLLM: Verified GPU Pods, Quants, and Serving Recipes

Qwen3.8-2.4T-A95B is a 2.4-trillion-parameter Mixture-of-Experts model with roughly 95B parameters active for each token. If you're planning to self-host it, the first thing to know is that this is a

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MAMuhammad Azlaan Zubairblog.mdazlaanzubair.comAug 8 · 16 min read

Claude’s Intelligence Isn’t Worth $20 to Me Anymore

I like Claude. That is precisely why I have a problem with Claude Pro. Claude can write exceptionally well. Its coding models are genuinely competitive. Claude Code is one of the strongest arguments

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DSDarsh Shahfreecodecamp.orgAug 6 · 16 min read

How to Customize an LLM for AI Agents using SFT and QLoRA

In this tutorial, I’ll show you how to fine-tune a large language model for use in AI agents using supervised fine-tuning with QLoRA. This lets us customize a pre-trained model so it behaves the way w

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AGAditi Guptahonestaireview.hashnode.devAug 4 · 8 min read

Qwen3.8-Max Beat Claude

Alibaba has released Qwen3.8-Max, its largest and most capable AI model to date. The headline specifications are absurd: 2.4 trillion total parameters, 95 billion activated per token, multimodal input

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#qwen

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Trending tags this week

Ornith-1.0-9B vs. Qwen3.5 vs. Gemma4: A Local AI Battle Royale

[Video] Running Xiaomi MiMo V2.6 Qwen 9b Distill on a 16GB MBP

[Video] Running Qwen 3.8 27B Ternary Bonsai 2 on my 16GB Mac

Introduction To Mechanistic Interpretability

Why Open Models Start From Qwen: AI Base Models Explained

I Enabled Wireless Debugging. xAgent and a 27B Quantized Model Did the Rest

Deploying Qwen3.8-2.4T-A95B with vLLM: Verified GPU Pods, Quants, and Serving Recipes

Claude’s Intelligence Isn’t Worth $20 to Me Anymore

How to Customize an LLM for AI Agents using SFT and QLoRA

Qwen3.8-Max Beat Claude