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faq [2026/04/10 01:01] – [When will Synthetic get model X?] katfaq [2026/04/11 16:19] (current) – beeg brane here amolith
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-===== Frequently Asked Questions =====+====== Frequently Asked Questions ======
  
-==== When will Synthetic get model X? ==== +{{namespace>faq}}
- +
-Before you ask this, make sure it: +
- +
-  - Is [[https://opensource.org/ai/open-weights|open weight]] or [[https://opensource.org/ai/open-source-ai-definition|open source]]. +
-  - Has weights available on [[https://huggingface.co/models|HuggingFace]] (these are not always the same thing: sometimes a model is //planned// to be open weight, but has not been released yet). +
-  - Has a compatible license that allows Synthetic to actually make money hosting a model (sometimes model weights are published "openly," but only under modified OSS licenses that require royalties over a certain profitability limit, for instance). +
-  - Has an [[https://developer.nvidia.com/blog/introducing-nvfp4-for-efficient-and-accurate-low-precision-inference|NVFP4]] [[https://ngrok.com/blog/quantization|quantization]] available so that Synthetic can run it on their GPUs at optimal speed (there are some exceptions to this — if a model is sufficiently desired, they may make their own quant). +
-  - Has solid support for that model or its general architecture in [[https://github.com/sgl-project/sglang/issues|sglang]], the inference engine Synthetic uses to actually //run// the models. +
- +
-Factors that can delay Synthetic getting a model: +
- +
-  * If it is unusually large, it may take time for them to acquire or free up GPU space to host it. +
- +
-  * If it has a novel or unusual architecture (such as DeepSeek Sparse Attention for GLM 5), it will take time for inference engines like sglang to get reliable support for the model. +
- +
-  * If the model has not yet been quantized to NVFP4, Synthetic will have to wait for NVIDIA to do that, or make one themselves, both of which can take some time. +
- +
-Additionally, it is worth keeping in mind that many models from labs known for creating open-weight models may either be closed source—such as Qwen 3.6-Plus—or available only through the lab's API for user testing and feedback (and to give the lab a profitable head start) but not yet released as open weights. This was the case with GLM 5.1 for a few weeks and remains true as of April 9th, 2026, for MiniMax M2.7.+