Ollama v0.40.16 Features Ripple Preview: 65B Model for Agentic Coding

Ollama's latest release introduces Ripple Preview, a 65-billion parameter dense model from Recursive Intelligence specifically designed for agentic coding tasks. This represents a practical advance in making sophisticated code-generation models accessible for local deployment, enabling developers to run autonomous coding agents on their own hardware without relying on cloud APIs.

The release also includes critical optimizations for Apple Silicon users, with Qwen3.8 Flash now consuming approximately 27GB less memory—a substantial reduction that brings large models within reach of MacBook Pro systems. These efficiency gains demonstrate the ongoing focus on making cutting-edge models practical for consumer-grade hardware, a key consideration for practitioners building local AI systems.

The combination of a specialized agentic model release and hardware-specific optimizations shows how the local LLM ecosystem is maturing beyond generic deployments toward domain-specific and platform-optimized solutions.

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Source: Ollama release · Relevance: 9/10