Docker Model Runner
PulseAugur coverage of Docker Model Runner — every cluster mentioning Docker Model Runner across labs, papers, and developer communities, ranked by signal.
- 2026-05-13 product_launch Docker integrated Model Runner into Docker Desktop, simplifying local AI development. source
8 day(s) with sentiment data
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CCore releases GLB-3D-Coder 4B model for 3D asset generation
The CCore GLB-3D-Coder 4B model, a fine-tuned version of Qwen3.5-4B, has been released with full Safetensors weights. This model is designed to generate reusable 3D assets, creating complete Three.js HTML scenes that ca…
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LiquidAI releases LFM3-Omni-2B and LFM3-1.7B-Base models for local inference
LiquidAI has released two new models, LFM3-Omni-2B and LFM3-1.7B-Base, designed for efficient local inference on various devices. The LFM3-Omni-2B is an omni-modal model capable of processing text, images, video, and au…
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Docker Model Runner brings local LLMs to Docker engine
Docker has introduced a new feature called Docker Model Runner, which allows users to run large language models locally within the Docker engine. This feature eliminates the need for API calls to external services, offe…
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LiquidAI releases LFM3-1.7B-GGUF model with broad integration support
LiquidAI has released its LFM3-1.7B-GGUF model, offering detailed instructions for its integration with various popular AI tools and platforms. The model is compatible with inference providers such as llama.cpp, vLLM, a…
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MiniMax releases 428B coding model, but self-hosting remains costly
MiniMax has released the open weights for its 428B-parameter coding and agent model, M3.1 Flash. The model boasts a 1 million token context window and multimodal input capabilities, targeting coding and AI agent tasks. …
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Baidu releases ERNIE 5.5 Flash Base, a 280B MoE model for researchers
Baidu has released ERNIE 5.5 Flash Base, a large open-weight mixture-of-experts model with 280 billion total parameters and 14 billion activated per token. The model is released at the pre-training stage, allowing devel…
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Docker Agent plugin simplifies AI agent deployment without code
Docker Agent is a new plugin for the Docker CLI that allows users to create and run AI agents without writing code. These agents can collaborate to solve complex problems, with features like integrated retrieval-augment…
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vLLM guide covers OpenAI-compatible API, Docker deployment, and Ollama comparison
This guide details how to install and serve models using vLLM, a high-throughput LLM serving framework. It covers using vLLM's command-line interface or Docker for deployment, highlighting its OpenAI-compatible API. The…
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Qwen-Image-2.1-Turbo-Uncensored-GGUF model now compatible with local AI tools
The AtomicChat/Qwen-Image-2.1-Turbo-Uncensored-GGUF model is now available for use with various local inference tools. Instructions are provided for integrating it with popular applications such as llama.cpp, LM Studio,…
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Google DeepMind releases EmbeddingGemma 2 multimodal model
Google DeepMind has released EmbeddingGemma 2, an open multimodal embedding model designed for efficient on-device applications. This model unifies text, images, video, and audio into a single 768-dimensional vector spa…
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XingChen-AGI releases Xing4.0-29B-A4B with 256K context length
XingChen-AGI has released Xing4.0-29B-A4B, a new large language model in the Xing series, formerly known as TeleChat. This model boasts 29 billion parameters with only 4 billion activated per token, enabling a native co…
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LLM Hosting Guide Compares Ollama, vLLM, TGI, and Cloud Options
This guide explores LLM hosting options for 2026, comparing popular tools like Ollama, llama.cpp, vLLM, Text Generation Inference, Docker Model Runner, and LocalAI. It also considers cloud provider solutions, detailing …
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Run AI Models Locally with Docker Model Runner and Spring AI
Developers using Java and Spring AI can now run generative AI models locally via Docker Model Runner, eliminating the need for cloud-hosted APIs. This approach offers benefits such as reduced development costs, enhanced…
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Qwen3.8-27B-DFlash2 model available via two Hugging Face repositories
Two distinct repositories, incoai/Qwen3.8-27B-DFlash2-GGUF and z-lab/Qwen3.8-27B-DFlash2-GGUF, have emerged on Hugging Face, both offering the Qwen3.8-27B-DFlash2 model. These models are designed as draft models for spe…
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SKT releases A.X K2, a 688B parameter MoE language model
SKT has released A.X K2, a large-scale Mixture-of-Experts (MoE) language model. This model boasts 688 billion total parameters with 33 billion active parameters, designed for strong reasoning and instruction-following c…
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DeepSeek unveils V4 models with 1M token context and MoE architecture · 3 sources tracked
DeepSeek has released preview versions of its DeepSeek-V4 series, featuring two Mixture-of-Experts (MoE) language models: DeepSeek-V4-Pro and DeepSeek-V4-Flash. Both models support an impressive one million token contex…
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Unlimited-OCR-GGUF model released with integration guides
The Unlimited-OCR-GGUF model, developed by sahilchachra, is now available on Hugging Face, offering enhanced OCR capabilities. The model is designed to process and understand images, as demonstrated by its ability to de…
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LLM Hosting Options Compared: Ollama, vLLM, TGI, and Cloud Providers
This guide compares various methods for hosting Large Language Models (LLMs) in 2026, evaluating options like Ollama, llama.cpp, vLLM, TGI, Docker Model Runner, and LocalAI alongside cloud providers. It details the cost…
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WeiboAI releases VibeThinker-3B for advanced reasoning tasks
WeiboAI has released VibeThinker-3B, a 3-billion parameter model designed for challenging reasoning tasks like mathematics, coding, and STEM. The model utilizes an optimized post-training pipeline, achieving performance…
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SILX AI launches Quasar-Preview with 5M context and MoE architecture
SILX AI has released Quasar-Preview, the initial public model in its Quasar Foundation Model series. This early checkpoint showcases the Quasar architecture, featuring a sparse Mixture-of-Experts (MoE) design with appro…