I ran Gemma 4 and Qwen 3.5 for the same local tasks, and one pulled miles ahead
…Sign in to your XDA account Local LLMs are one of those things that started off as a novelty and ended up being more useful than I expected . After running them for…
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Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
Google's Gemma 4 isn't the smartest local LLM I've run, but it's the one I reach for most
Google's Gemma 4 isn't the smartest local LLM I've run, but it's the one I reach for most
NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI
…DGX Spark playbooks to get a local environment running quickly. Check out the vLLM playbooks for DGX Spark , RTX PRO and DGX Station . Try Diffusion Gemma on Hugging Face or test it…
My local LLM rewrote my resume better than ChatGPT, and it's not even close
…Simultaneously, I uploaded my resume to my local LLM, which runs the Gemma 4 model through Ollama . When I have plenty of time on my hands, I usually prefer using the Quen…
Top stories
I ran a powerful local AI model on my laptop, and it didn’t feel like a compromise
1d agoRun Google's Gemini LLMs right on your Mac with the new AI Edge Gallery
1w agoGoogle's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
1w agoI use Claude Pro, Qwen 3-Coder, and Gemma 4 together, and it's the most cost-efficient AI workflow I've ever built
1w agoAMD Rolls Out Gemma 4 Model Support Across Full Range of GPUs & CPUs
…Deploying on local hardware with LM Studio Gemma 4 models can be easily and performantly deployed on AMD hardware through the open-source llama.cpp project and LM Studio . Users can quickly…
I replaced the expensive Gemini AI Pro subscription with these local models, and my productivity didn't drop a bit
…However, as the local model landscape shifted with the arrival of heavy hitters like Gemma 4, Qwen3.6, and more, I started to wonder whether I really need to continue my $20…
Google Unveils Coral Board for Local AI and Edge Computing
…A major highlight of the launch was Google's demonstration of the Gemma 3 270M language model running locally on the Coral Board. By performing inference on-device, the system can continue…
Discussions and forums
Show HN: I made a Gemma 4 Mac app that names screenshots with local AI
I made my first macOS utility app that ships with a bundled Gemma 4 model, specifically the Gemma E4B one. It made my app DMG have 5.3 GB in size, but I think it is a small size for the power that this free local model c…
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Qwen 3.6 27B vs Gemma 4 31B - making Packman game!
Gemma just crushed Qwen in a local LLM gamedev contest! Device: MacBook Pro M5 Max, 64GB RAM Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens. Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens. So what is more impo…
Show HN: Hitoku Draft – Context aware local assistant
Hi guys.I have been working on Hitoku Draft, an open-source, voice-first AI assistant that runs entirely locally. I posted about it already, and now it has also transcription with voice editing. Looking for feedback, as …
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Update on 12x32gb sxm v100 cluster / local AI for legal drafting
Update from the lawyer with the V100 server. A few of you asked what I actually ended up running once the dust settled, so here it is. Still just a lawyer, still driving the whole thing through Claude Code, still not ful…
Ask HN: Any Local LLM can I run without GPU for Local Agentic workflow AI?
Claude Code like agentic workflow ai too costly for me.Any LLM can I run with VSCode at the below setup? 16ram Intel core i7 h processor 13gen 512gb NVMe SSD I want to run the ai as local agentic workflow with Vscode.I w…
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I tested 3 local LLMs on my actual work — and each model won at something different
…Related Google's Gemma 4 isn't the smartest local LLM I've run, but it's the one I reach for most Google's newest Gemma 4 models are both powerful…
I turned my phone into a local LLM server, and it handles vision, voice, and tool calls
…Qwen3 Coder Next is still my favorite local model, but Gemma 4's entire array of options is really giving my preferences a run for their money.
I stopped hitting Claude's message limit by building a local AI pipeline that does the heavy lifting
…Gemma 4 runs locally through Ollama and handles most of the code generation. The prompt goes in, the model produces a working draft, and that draft is compiled before it reaches Claude…