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💾 v0.23.1: mlx: Gemma4 MTP speculative decoding (#15980)


Nachrichtenbereich: 💾 Downloads
🔗 Quelle: github.com

This change adds support for MTP (multi-token prediction) speculative decoding for the
gemma4 model family.
It includes:

support for importing safetensors based gemma4 draft models with ollama... [Weiterlesen]

🔧 Running Gemma 4 Inside a Docker Container with GPU Passthrough


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🔧 5 empty responses from gemma4:e4b. 4 hypotheses. 0 root cause.


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🔧 What did gemma see? - Thinking in comments...


📈 592.32 Punkte
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🔧 Running Gemma 4 26B on GKE with a Single L4 GPU


📈 494.27 Punkte
🔧 Programmierung

🔧 Speculative Optimizations for WebAssembly using Deopts and Inlining


📈 421.97 Punkte
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🔧 How I Built a Completely Free Local AI Stack — Inspired by a 60-Second YouTube Short


📈 392.51 Punkte
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🔧 L.E.N.S. — A private photography coach for blind and low-vision artisans


📈 377.97 Punkte
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🔧 Deploy Gemma 4 on Cloud Run: Pay Only When You Actually Use It


📈 377.97 Punkte
🔧 Programmierung

🔧 Run Gemma 4 on Your Laptop — A Hands-On Guide to Google's Latest Open Multimodal LLM


📈 261.67 Punkte
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🔧 The Local Model That Doesn't Sleep: Gemma 4 + MTP as a Marathon Engine


📈 242.23 Punkte
🔧 Programmierung

🔧 Shipping Gemma 4 speech recognition in a Windows .NET desktop app: a 5-variant model-selection tour


📈 234.44 Punkte
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🔧 RAG Architecture with n8n + PostgreSQL (pgvector) + Ollama Gemma4 on AWS EC2


📈 232.6 Punkte
🔧 Programmierung

🔧 E2B? E4B? 26B A4B? The Gemma 4 Model Names Finally Explained


📈 219.91 Punkte
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🔧 Basics of Gemma 4 with Google ADK


📈 218.06 Punkte
🔧 Programmierung

🔧 Running Gemma4 for Free on HuggingFace


📈 218.06 Punkte
🔧 Programmierung

🔧 Speculative decoding: when and why it actually speeds up inference


📈 203.83 Punkte
🔧 Programmierung

🔧 Gemma 4's 128K Context Window: Breaking Down Research Papers Without Cloud APIs


📈 203.52 Punkte
🔧 Programmierung

🔧 Making Gemma 4 (e2b) production-safe with five tiny libraries


📈 203.52 Punkte
🔧 Programmierung

🔧 How to Run Google's Gemma 4 Locally with Ollama — All 4 Model Sizes Compared


📈 203.52 Punkte
🔧 Programmierung

🔧 The Reason Your AI Chatbot Feels Fast Has Nothing to Do With a Better Model


📈 194.85 Punkte
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🔧 Gemma 4 VLA chạy cục bộ trên Jetson Orin Nano 8GB


📈 188.98 Punkte
🔧 Programmierung

🔧 Running Gemma 4 Locally with Ollama and OpenCode


📈 188.98 Punkte
🔧 Programmierung

🔧 I tested speculative decoding on my home GPU cluster. Here's why it didn't help.


📈 180.64 Punkte
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🔧 I Tested Every Gemma 4 Model Locally on My MacBook - What Actually Works


📈 174.45 Punkte
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🔧 Gemma 4 Is the First Open Model I'd Actually Recommend to a Client


📈 174.45 Punkte
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🔧 My Local Copilot: Gemma 4 + Open WebUI + OpenHands for Coding Without Leaving My Machine


📈 174.45 Punkte
🔧 Programmierung

🔧 Three Months of Speed-Up Experiments on a 3090 Ti: Autoregressive DFlash MTP for Qwen3.6-27B


📈 160.78 Punkte
🔧 Programmierung

🔧 Speculative Decoding’s Ceiling Just Moved With DFlash


📈 160.53 Punkte
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🔧 I asked Gemma 4 to summarize. It said the transcript looked truncated. It was right.


📈 159.91 Punkte
🔧 Programmierung

🔧 What Gemma 4's multi-token prediction head actually means for your eval pipeline


📈 159.6 Punkte
🔧 Programmierung

🔧 Ollama Structured Outputs in Practice — Getting Type-Safe JSON from Local LLMs with Pydantic


📈 150.91 Punkte
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🔧 Adding Gemma 4 speech recognition to a .NET desktop app: the llama-server sidecar that survived


📈 145.37 Punkte
🔧 Programmierung

🔧 Vitreus: Local-First Spreadsheet Intelligence with Gemma 4


📈 145.37 Punkte
🔧 Programmierung

🔧 Building a Fully Offline AI Coding Assistant with Gemma 4 — No Cloud Required 🤖


📈 145.37 Punkte
🔧 Programmierung