#Inkling open-weight model
6 related articles
·2 min
Thinking Machines Releases Its First Open-Weight Model: Inkling
Thinking Machines Lab releases Inkling, its first open-weight model. Founded by former OpenAI members, the startup enters the LLM market with an open-weight strategy enabling local deployment and private fine-tuning.
Read more →
Inkling Open-Weights Model: A New Expl…
·2 min
Inkling Open-Weights Model: A New Exploration in the Open-Source AI Ecosystem
Inkling open-weights model released. Explore the key difference between open-weights and fully open-source AI, Inkling's positioning, and how to choose the right open-source LLM for production.
Read more →
·3 min
Kimi K3 Deep Dive: How a 3 Trillion Parameter Open-Weight Model Reaches the Frontier
Deep dive into Kimi K3: the largest open-weight model at 3 trillion parameters, surpassing Opus-level models in Agentic coding with 896-expert MoE architecture, 1M token context, at Sonnet pricing.
Read more →
·3 min
Deep Dive into Inkling: The First Frontier Open-Source Multimodal LLM from the West
Thinking Machines releases Inkling, an open-source multimodal LLM with near-trillion MoE parameters, 1M token context, Apache 2.0 license. Deep dive into architecture, benchmarks, and pricing.
Read more →
·3 min
Poolside Laguna Model Launch: Can Silicon Valley's Open-Source Push Catch Up to China's AI?
Poolside launches Laguna open-weight model after 18 months of silence, pitting 118B parameters against Kimi K3's 2.8 trillion. Can Silicon Valley's open-source push close the gap with Chinese AI?
Read more →
·3 min
Poolside Laguna Model Release: Can Silicon Valley Open Source Catch Up with Chinese AI?
Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?
Read more →