Open models
Source reports covering Open models. Stories will appear when analysis and community reactions are ready.
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Source reports
Nvidia Nemotron 3.5 Lightning and NeMo Switchyard
tool
5 min read
NVIDIA has launched the Nemotron 3.5 Lightning model, designed for high efficiency in long-running agentic AI workloads. This release enhances the Nemotron 3 family, following the introduction of Nemotron 3 Nano, and aims to improve accuracy and speed in AI applications.
Using an open model feels surprisingly good
tool
1 min read
Using an open model for AI inference allows users to have greater control over their data and deployment. Setting up an open code inference endpoint can provide a sense of ownership and freedom in managing AI tasks.
Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTA
research
4 min read
Kimi K3 is an open model that offers competitive performance with Fable 5 at a lower cost. When combined, Kimi K3 and Fable 5 achieve state-of-the-art results across approximately 1,030 agentic tasks.
Nativ: Run frontier open models locally on your Mac
tool
2 min read
Nativ enables users to run standout open AI models from Google, Cohere, and Liquid AI on Apple Silicon without the need for accounts, subscriptions, or cloud services. The platform recommends the optimal model based on the user's hardware specifications.
Ollama: All Aboard Open Models
tool
4 min read
Ollama simplifies the process for developers to utilize open models. Founded by former Kitematic creators, Ollama has rapidly gained popularity in the AI development community.
LM Studio Bionic: the AI agent for open models
tool
3 min read
LM Studio Bionic is an AI agent designed for open models, facilitating tasks such as coding, research, and document management. Users can operate local models or access open-source cloud models while maintaining control over privacy and expenses.
Inkling – Open-Weights 975B Parameter LLM
tool
1 min read
Inkling is an efficient open model designed for text, images, and audio, featuring 975 billion total parameters with 41 billion active parameters using a Mixture of Experts architecture. It supports a context window of 64K to 256K tokens on Tinker and exhibits strong performance in knowledge, math, and science, along with capabilities for agentic coding and tool usage.
There is minimal downside to switching to open models
opinion
3 min read
Switching to open models involves minimal risk, as compatibility issues with document rendering and specialty file formats have significantly improved. The software ecosystem surrounding open models has also become more robust, facilitating better collaboration.