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microtensor-archive/mt-code-3g-r1236-5HKyjd9J
mt-code-3g-r1236-5HKyjd9J is a machine learning model from microtensor-archive. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository is an archival copy of a system submitted to the Microtensor subnet (Bittensor netuid 92) and certified by its validators. The figures below were measured by the network on reference hardware. They are…
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From the Hugging Face model README
This repository is an archival copy of a system submitted to the Microtensor subnet (Bittensor netuid 92) and certified by its validators. The figures below were measured by the network on reference hardware. They are not self-reported.
5HKyjd9JPe8MPPdp2KF6SZcVsy7ndJR6cbHVzth72uncJsyf5443c7c2a62606de5f8c0a3bc905cdcesha256:529c3abd98a5d09d5b6ca50560eb654fa86a97ed10846b92f12f67aefa4dc7f5sha256:c867fe89b3af4ba7524e5173bc7cd6c54e6aa7c8145dbc7f57b5dfb1e3d31b2bThe full signed record is in certificate.json. It is
recomputable from the round's published reports.
The artifact was fetched over a scheme that left no manifest file on disk; the bytes here are the component the network verified by digest and measured, retained without the submitted manifest.
Released under apache-2.0, the licence every base model allowed in this arena round carries (Qwen/Qwen3-0.6B, Qwen/Qwen3-1.7B, Qwen/Qwen3-4B).
Submitting granted the network the right to retain, archive and
redistribute this artifact, with emissions as the consideration.
Anyone may serve it, including commercially, on the terms of that licence.