#Gemma 4
224 related articles
·3 min
Google Gemma 4 On-Device Model: Optimized for Pixel 10 TPU — Offline Multimodal Capabilities Tested and Analyzed
Google's Gemma 4 E2B for TPU runs offline on Pixel 10's Tensor G5 chip, enabling local AI chat, image recognition, and audio transcription. We break down the features and real-world test results.
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·2 min
Unsloth v0.1.45 Released: Gemma 4 MTP Acceleration, Cross-Platform Fixes, and Studio Upgrades
Unsloth v0.1.45-beta adds Gemma 4 MTP support, AMD ROCm & NVIDIA Blackwell fixes, a new Hub download manager, and a compact RAG system for local LLM fine-tuning.
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·3 min
Unsloth v0.1.46-beta Update: DiffusionGemma Tool Calling Disabled and Artifacts Canvas Enabled by Default
Unsloth v0.1.46-beta is out with key DiffusionGemma changes: tool calling disabled by default, artifacts canvas enabled. A deep dive for LLM fine-tuning devs.
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·3 min
Unsloth Major Update: DiffusionGemma & Gemma 4 MTP Support, 2x Inference Speed Boost
Unsloth v0.1.464-beta adds DiffusionGemma, Gemma 4 MTP, and MiniMax-M3 support, delivering ~2x inference speed boost, new Hub, RAG Q&A, tensor parallelism, and full CUDA/ROCm/Windows coverage.
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·2 min
Gemma 4 12B Released: An Open-Source Lightweight Model That Runs Locally on 16GB VRAM
Google releases Gemma 4 12B open-source model with 12B parameters that runs locally on 16GB VRAM laptops. Licensed under Apache 2.0 for commercial use, with 150M+ total Gemma downloads.
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·2 min
DiffusionGemma: Google's Text Diffusion Model Achieves 4x Inference Speedup
Google launches DiffusionGemma, a text diffusion language model achieving 4x faster inference than Gemma 4 series. Learn how text diffusion works and its impact on AI.
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·1 min
DiffusionGemma: Google's Open-Source Diffusion Language Model with 4x Faster Inference
Google releases DiffusionGemma, an open-source diffusion language model achieving up to 4x faster inference and real-time self-correction by generating text in parallel rather than token by token.
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·1 min
Gemma 4 12B: Google's Open-Weight Model Runs Locally on Your Laptop
Google releases Gemma 4 12B, an open-weight model that runs locally on laptops. Learn about its performance, local deployment value, and the open-source LLM competitive landscape.
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·3 min
Gemma 4 Open-Source Model Local Deployment Guide: Ollama Installation & Mobile Setup
Step-by-step guide to deploying Google's Gemma 4 open-source model locally with Ollama and running the lightweight version on mobile with tool calling support.
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Tutorials·3 min
Ollama + Gemma 4 Local Codex Setup: Complete Guide to Zero-Cost AI Programming
Learn how to run Codex locally with Ollama and Gemma 4 for zero-cost AI programming. Covers installation, model selection, and real demos as an alternative to $20-200/month paid plans.
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Tutorials·2 min
Gemma 4 Complete Guide: The Apache 2.0 Open-Source Agent Powerhouse
In-depth analysis of Google's Gemma 4 open-source models: 31B, 26B MOE, and 14B/12B benchmarks, deployment guides for all platforms, and MS-Swift fine-tuning tutorial for building local Agent workflows.
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Product Reviews·3 min
Google Gemma 4 Hands-On Review: Offline on Smartphones + Ollama Deployment Tutorial
Hands-on testing of Google Gemma 4 open-source models running offline on three phones, with Dense vs MOE architecture explained and a complete Ollama + Claude Code deployment tutorial.
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Tech Frontiers·3 min
AI Weekly: Claude Code Review, Gemma 4 Leak & DeepSeek V4 Delayed
Weekly AI roundup: Anthropic launches Claude Code review, Google Gemma 4 leaks with MoE architecture, DeepSeek V4 delayed again, Microsoft Copilot Cowork reshapes collaboration, and OpenAI acquires PromptFool.
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Product Reviews·3 min
Qwen 3.6 vs Gemma 4: In-Depth Comparison of Local AI Coding Models Through Real-World Development
Real-world comparison of Qwen 3.6 and Gemma 4 local AI models building a Markdown editor with Tauri, testing planning ability, code generation, and development efficiency.
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Product Reviews·3 min
Gemma 4 Deep Dive: Running Google's Top-Tier AI Free and Offline
Deep dive into Google's Gemma 4 open-source AI: local deployment tutorial, head-to-head comparison with ChatGPT, and offline phone demo. Four model sizes from mobile to workstation, zero-code setup via LM Studio, fully private and forever free.
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Tech Frontiers·3 min
Gemma 4 + DGX Spark: How Open-Source LLMs and Desktop-Level Compute Are Changing AI Development
NVIDIA and Google DeepMind jointly showcase Gemma 4's vision translation, long-context Q&A, and real-time code generation on DGX Spark, signaling the convergence of open-source AI and edge compute.
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Tutorials·3 min
Deploying Gemma 4 on DGX Spark: A Complete Guide to Local AI Supercomputing + Open-Source LLMs
Deep dive into deploying Google Gemma 4 on NVIDIA DGX Spark. Covers hardware architecture, Gemma 4 highlights, local AI deployment benefits, and developer best practices for desktop-class AI supercomputing.
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Product Reviews·2 min
localOCR: A Locally Deployed Open-Source OCR Solution Supporting Gemma-4 and Other Vision Models
localOCR is an open-source local OCR tool powered by vision language models like Gemma-4 and Llama 3.2. Learn about its architecture, multi-model support, use cases, and advantages over traditional OCR.
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Tutorials·2 min
Unsloth: How This 60K-Star Web UI Runs Gemma 4, Qwen3.6, and DeepSeek on Consumer GPUs
Deep dive into Unsloth: fine-tune and run Gemma 4, Qwen3.6, and DeepSeek locally via Web UI. 70% less VRAM, 5× faster — consumer GPUs welcome.
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·3 min
Unsloth Now Supports AMD GPUs: 2x Training Speedup and 70% VRAM Savings Across 500+ Models
Unsloth officially supports AMD GPUs across RDNA 3-4, Strix Halo, and MI300 series, delivering 2x training speedup and 70% VRAM savings on 500+ models with RL and vLLM weight sharing support.
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