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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Tracked topic
Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
Videos
More videosForget Gemini and Claude, this is the free game-changing AI tool you need to try on Google Pixel
…It’s running locally on your hardware. Related I tried Android's Desktop Mode, and I might never use my laptop again Android's Desktop Mode surprised me What is Gemma 4…
I ran a full LLM on my phone with no internet, and it's more useful than I expected
…It was far more useful than I had any right to expect. You don't need beefy hardware to run Gemma 4 models Not like other local models The reason why local…
I thought I needed a GPU for local LLMs until I tried this lean model
…And then I came across Google’s recently released Gemma 4 models and decided to give it a shot via the LM Studio . Related 5 self-hosted LLMs I use for specific…
Top stories
I solved Gemma 4's biggest problem by routing it through Claude, and all it took was a Python script
1w agoI tested Google's new Gemma 4 12B on my 8GB GPU, and now I don't want to go back to smaller models
1w agoI ran Gemma, Llama, and Qwen on my phone, and only one of them is worth the storage
1w agoI tested 3 local LLMs on my RTX 4070 Ti for real work — only one earned a permanent spot
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
…why I'm not using ChatGPT for this. The answer really is quite simple, and it is the fact that Gemma 4 runs on the same local Ollama interface as Qwen 3…
I replaced the expensive Gemini AI Pro subscription with these local models, and my productivity didn't drop a bit
…using LM Studio and offloading the layers to my GPU, I have turned my local machine into a coding powerhouse that rivals anything the cloud can offer. Ministral 3 3B If Gemma…
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…
Discussions and forums
Using a Gemma4 Safetensor Already Downloaded Locally
Hi everyone. I need some help or advice. I’m learning how to use N8N, so I downloaded Docker and installed N8N locally. I also wanted to install Gemma4, which I use in ComfyUI to help with image generation prompts. Is it…
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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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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Multi-Token Prediction (MTP) for LLaMA.cpp - Gemma 4 speedup by 40%
Implemented Multi-Token Prediction for LLaMA.cpp. Quantized Gemma 4 assistant models into GGUF format. Ran tests on a MacBook Pro M5Max. Gemma 26B with MTP drafts tokens 40% faster. Prompt: Write a Python program to find…
Google Gemma 4 in your pocket: How to run the latest AI fully offline
…us a commission. Learn more. General technology AI Google Gemma 4 in your pocket: How to run the latest AI fully offline Google's new AI Edge Gallery brings local Gemma 4…
Google's latest trick gets Gemma 4 running 3x faster right on your phone
…This allows the model to use the memory and the compute more efficiently. Google’s recently launched Gemma 4 edge AI models are especially designed to run locally on consumer-hosted hardware…
I tested my local LLM across 4 different tools, and only one actually unleashed its potential
…LM Studio See at LM Studio Llama.cpp It lets me use Gemma to its full potential llama.cpp is the open-source C++ runtime that pretty much every other runner on…