Découvrez les dernières fonctionnalités, solutions et mises à jour.

Curated collection of the most effective prompts for Gemma 4. Copy-paste ready prompts for coding, writing, data analysis, image understanding, and more.

A comprehensive ranking of the best open-source AI models you can run locally in 2026. Compare Gemma 4, Llama 4, Qwen 3, Phi-4, and Mistral — with hardware requirements, installation guides, and real-world use cases.

Detailed comparison of Google Gemma 4 and Meta Llama 4 Maverick. Benchmarks, features, licensing, and real-world performance. Find the best open model for your project.

In-depth comparison of Google Gemma 4 and Alibaba Qwen 3. Side-by-side analysis of parameters, benchmarks, licensing, Chinese language support, and local deployment.

Comparaison approfondie des modèles Gemma 4 26B MoE et 31B Dense. Explique l'architecture MoE, les résultats de benchmarks, les exigences VRAM, les différences de vitesse et les recommandations par cas d'usage.

Step-by-step guide to running Gemma 4 on AMD GPUs with ROCm. Covers supported architectures, installation, Lemonade tool, vLLM/SGLang setup, and common troubleshooting tips.

Complete tutorial for calling the Gemma 4 API three ways: Ollama local API, Google AI Studio, and OpenRouter. Full code examples in Python, cURL, and JavaScript with streaming support.

Understand how Gemma 4 works under the hood — Mixture of Experts, Dense models, attention mechanisms, and that massive 256K context window.

A practical, honest review of Gemma 4's Chinese language abilities — comprehension, generation, code comments, translation, and how it compares to Qwen 3.

Run Gemma 4 in Docker containers — Dockerfile, docker-compose, GPU passthrough, persistent storage, and multi-model setups.

Guide complet pour télécharger Gemma 4 — via Ollama, LM Studio, Hugging Face, Google AI Studio et Kaggle. Trouvez la meilleure méthode pour votre configuration.

Learn how to fine-tune Gemma 4 using LoRA and QLoRA with Unsloth. From data prep to GGUF export and Ollama deployment — everything you need.

Build AI agents with Gemma 4's native function calling. Covers tool definition in JSON schema, weather API and calculator examples, multi-step agent loops, Python code with Ollama API, and structured output patterns.

Complete guide to Gemma 4 GGUF quantization formats. Compares Q4_K_M, Q5_K_M, Q8_0, and IQ4_XS with file sizes, quality benchmarks, speed measurements, and setup instructions for llama.cpp, Ollama, and LM Studio.

Configuration matérielle complète pour chaque modèle Gemma 4. RAM, VRAM et spécifications GPU pour portables, ordinateurs de bureau et cloud. Découvrez exactement ce dont vous avez besoin avant de télécharger.

Download Gemma 4 from Hugging Face — official weights and GGUF quantized versions. Covers git lfs, huggingface-cli, transformers library usage, text-generation-inference, and HF mirror for Chinese users.

A practical guide to running Gemma 4 AI on your iPhone. Which models work, how to set it up with Google AI Edge Gallery, and honest performance expectations.

Get consistent, parseable JSON from Gemma 4 — system prompt techniques, Ollama format parameter, Pydantic validation, and retry patterns.

Real performance benchmarks for Gemma 4 on every Apple Silicon Mac — M1 through M4, with tokens per second, model recommendations, and optimization tips.

Guide complet pour exécuter Gemma 4 sur appareils mobiles. Couvre le déploiement Android avec AI Edge SDK, AICore et MediaPipe, iOS avec AI Edge Gallery et LiteRT, sélection de modèle, performances attendues et capacités IA hors ligne.

Learn how to use Gemma 4's multimodal capabilities to analyze images, extract text, read charts, and more. Includes Ollama CLI commands, Python API examples, and practical use cases.

Complete guide to running Gemma 4 on NVIDIA GPUs. Covers CUDA requirements, Ollama setup, GPU offloading, RTX performance comparison, Jetson support, and TensorRT-LLM optimization.

Run Gemma 4 E2B on a Raspberry Pi 5 with Ollama — setup guide, realistic performance expectations, use cases, and optimization tips.

Diagnostiquez et corrigez les performances lentes de Gemma 4. Couvre la détection du fallback CPU, la comparaison de vitesse des quantifications, le réglage de la longueur de contexte, la gestion du cache KV et les optimisations spécifiques par plateforme.

Understand Gemma 4's thinking/reasoning mode — how to enable it, when it helps, when to skip it, and real performance comparisons with and without thinking.

Résolvez les problèmes Gemma 4 les plus courants — erreurs de mémoire insuffisante, inférence lente, GPU non détecté, problèmes de téléchargement, et plus. Des solutions concrètes de la communauté.

Discover 10 real-world use cases for Gemma 4, from coding assistance to document analysis to privacy-sensitive applications. Each use case includes the recommended model size and example prompts you can try today.

Deploy Gemma 4 for production use with vLLM, Docker, and an OpenAI-compatible API. Covers GPU planning, batch inference, monitoring, and Vertex AI.

Comparaison honnête entre Gemma 4 et ChatGPT — coût, confidentialité, vitesse, qualité par tâche, et quand utiliser chacun. Plus une approche hybride qui combine le meilleur des deux.

Gemma 4 et Gemini viennent de la même équipe chez Google, mais ce sont des produits très différents. Voici ce qui les distingue et quand utiliser chacun.

Detailed comparison of Gemma 4 and Gemma 3. Covers architecture changes, Apache 2.0 licensing, MoE models, audio support, 256K context, benchmark improvements, and migration guide.

Comparaison pratique des quatre modèles Gemma 4 — E2B, E4B, 26B MoE et 31B Dense. Trouvez celui qui correspond à votre matériel et votre cas d'usage.

Try Gemma 4 online for free — no installation, no GPU required. Complete guide to using Gemma 4 on Google AI Studio with chat, API access, and free tier details.

Guide étape par étape pour installer et exécuter Google Gemma 4 sur votre ordinateur avec Ollama. Configuration en une commande, sans cloud. Compatible Mac, Windows et Linux.

Learn how to run Google Gemma 4 locally using LM Studio — a beautiful GUI app for AI models. No command line needed. Download, click, and chat.

A complete guide to running Gemma 4 directly in your browser using WebGPU. No backend, no API keys, no setup — just open a tab and start chatting with a powerful AI model on your own device.