Tagged "model-release"
- IBM Releases Granite 4.2 Open-Weight Models for Local Deployment Under Apache 2.0
- Liquid AI Releases LFM2.5-VL-3B: Compact Vision-Language Model for Edge Inference
- Thinking Machines Lab Releases Inkling-Small: A 276B Total, 12B Active Open Weights Multimodal MoE Model
- Apertus 1.5: Swiss Open-Weight, Open-Source LLM Released
- AI Model Release Forecasts from Prediction Markets
- Microsoft Strikes Multibillion-Dollar Deal with French AI Firm Mistral
- Qwen 3.8 with 2.4T Parameters Going Open-Weight Soon
- Tencent Open-Sources Hy3 295B MoE Model Built for STEM Reasoning
- LongCat-2.0 Released
- Liquid AI Ships LFM2.5-230M with Broad Framework Support for On-Device Inference
- Qwable: New Free Local Model Brings Claude-like Capabilities to Edge Devices
- GLM-5.2 Challenges Claude Opus in WebGL Game Build
- Google's DiffusionGemma Brings Novel Text Generation to Local LLMs
- JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks
- Liquid AI Launches Edge-Focused LFM2.5 Model to Power On-Device AI Agents
- Mistral AI Launches Mistral Vibe
- Gemma 4: A New Budget-Focused Model in Posit AI
- New 8B Local LLM Design Marks Biggest Shift Since DeepSeek R1
- PLLuM: Poland's Ministry of Digital Affairs Releases Open Models on HuggingFace
- Berget AI Announces Berget Code for European Teams Powered by Kimi K2.6
- Gemma 4 Replaces Entire Local LLM Stack for Many Practitioners
- Google's Gemma 4 Could Put Powerful AI on Your Phone and Laptop
- Gemma 4 Just Replaced My Whole Local LLM Stack
- IBM Introduces Granite 4.1 Family of Models for Local Deployment
- Google's Gemma 4 Brings Powerful AI Capabilities to Phones and Laptops
- NVIDIA Nemotron 3 Nano Omni Powers Multimodal Agent Reasoning in a Single Efficient Open Model
- Google's Gemma 4: Powerful AI Models Optimized for Your Phone and Laptop
- Google's Gemma 4 Could Put Powerful AI on Your Phone and Laptop
- Google's Gemma 4 Finally Makes Local LLM Deployment Compelling for Practitioners
- Gemma 4 Just Replaced My Whole Local LLM Stack
- Gemma 4 Just Replaced My Whole Local LLM Stack
- Laimark – 8B LLM That Self-Improves on Consumer GPUs
- MiniMax M2.7 Open-Sources Globally as Industry's First Self-Improving Model
- MiniMax M2.7 Is Now Open Source
- MiniMax M2.7 Released: New Model Available for Local Deployment
- EXAONE 4.5 33B Model Released with Multiple Quantization Formats
- HunyuanOCR 1B: High-Quality OCR Now Viable on Budget Consumer Hardware
- Gemma 4 31B Achieves Exceptional Performance on Local Hardware
- Qwen 3.6 Free Model Available via OpenRouter
- Gemma 4 31B Achieves Third Place on FoodTruck Bench, Beating Larger Models
- Gemma 4 26B MoE Emerges as Optimal All-Around Local Model for Consumer Hardware
- Google Gemma 4 Released with GGUF Quantizations
- Gemma 4 Makes Local AI Agents Practical
- Qwen 3.6-Plus Released
- Qwen 3.5-27B Demonstrates Superior Performance vs Gemini 3.1 Pro and GPT-5.3
- IBM Granite 4.0 3B Vision: Compact Enterprise-Grade Document AI
- GLM-5.1 Model Weights Launching Early April for Local Deployment
- Mistral AI Releases Voxtral: Open-Source TTS Model Beating ElevenLabs on Local Hardware
- NVIDIA Releases GPT-OSS-Puzzle-88B, a Deployment-Optimized Model
- New Open-Weight Models Released: GigaChat-3.1-Ultra and Lightning Variants
- OmniCoder v2 Released: Improved Code Generation for Local Deployment
- Qwen3.5-27B Emerges as Sweet Spot for Single-GPU Local Deployment
- Chinese LLM Ecosystem Landscape: ByteDance Doubao, Alibaba, and Open-Source Competition