A Hugging Face post claims to contain an Anthropic Mythos-class checkpoint
AI · First reported 1 Nov, 15:45 · Updated 16:43

A Hugging Face Blog post alleges that a large, mid-training checkpoint is from an Anthropic model codenamed numbat. The post describes its architecture and files, but the supplied evidence contains no independent confirmation of the claim.
- The Hugging Face post describes the alleged checkpoint as a roughly 14-trillion-parameter model with 114 layers and a hybrid Gated DeltaNet and Multi-head Latent Attention architecture.
- The post says the checkpoint is at training step 1,830,000 of an approximately 1.96-million-step run and has not undergone post-training or RLHF.
- The post claims the 772 shards contain about 7.72 TB of tensor data; the Hacker News evidence only provides a title and says the item contains comments.
Summary written by Lux AI from 2 articlesUnverified
Key facts
- Claimed model codename
- numbat
- Claimed parameter count
- Approximately 14 trillion
- Claimed checkpoint step
- 1,830,000 of an approximately 1.96-million-step run
- Claimed shard count and data size
- 772 shards totaling about 7.72 TB
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