Inkling – Open-Weights 975B Parameter LLM
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975B-parameter open-weights model with only 41B active at inference, cutting GPU memory needs by ~20× while matching top-tier performance on code, math, and multimodal tasks. This lets you deploy a single model that handles text, images, and speech in production without swapping architectures, and fine-tune it on your own data for domain-specific workflows without hitting memory walls. Expect lower cloud costs and faster iteration, but watch for calibration drift if you push thinking-time too low.
A 975B parameter LLM with only 41B active parameters is now available for fine-tuning, enabling developers to potentially reduce the computational cost of customizing large models while maintaining their performance; this capability matters because it allows for more efficient domain adaptation without sacrificing the model's multimodal capabilities and tool usage.