The idea behind this merge is that each layer is composed of several tensors, which are in turn responsible for specific functions. Using MythoLogic-L2's robust understanding as its input and Huginn's extensive writing capability as its output seems to have resulted in a model that exceeds at both, confirming my theory. (More details to be released at a later time).
| Router | Input / 1M | Output / 1M | Cached Input / 1M |
|---|---|---|---|
| Requesty★ | $0.09 | $0.09 | $0.09 |
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