First official deployment of a U.S.-developed open-source model: Inkling 2 Small has been open-sourced, requiring at least 500GB of VRAM to run.
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Beating AI Express News: Thinking Machines, founded by former OpenAI CTO Mira Murati, has officially opened the weights of its Inkling 2 Small model. The model is now available on Hugging Face under the Apache 2.0 license, allowing download, fine-tuning, and commercial use. Inkling 2 Small launched last week, with a composite score of 31 from Artificial Analysis, making it the highest-scoring open-source model outside China to date. It features 594 billion total parameters, with 17 billion activated per inference, supports image input, and offers a maximum context window of 1 million tokens. Despite being labeled "Small", it has a fairly high operational threshold. The official provides two weight versions: the NVFP4 variant requires at least 500GB of GPU VRAM, equivalent to 2 NVIDIA B300s or 4 H200s; the MXFP8 version needs a minimum of 800GB VRAM, with evaluation scores only 1 to 2 percentage points higher than the former. Currently, the model supports inference frameworks including vLLM, SGLang, and Unsloth, and can also be accessed via APIs on platforms such as NVIDIA, Fireworks, Together, and Cloudflare.
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