@kqyno7: Anthropic's Mythos-class model may have just been uploaded straight to Hugging Face? A repo called burner22/numbat claims to have obtained an Anthropic internal training checkpoint, with a mind-blowing scale: • 14T (

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A Hugging Face repo called burner22/numbat claims to contain an Anthropic internal training checkpoint, reportedly 14T parameters, 114 layers, and 1,224 MoE experts — suspected to be one of the largest leaks of closed-source model weights ever.

💀 Anthropic's Mythos-class model may have just been uploaded straight to Hugging Face? A repo called burner22/numbat claims to have obtained an Anthropic internal training checkpoint, with a mind-blowing scale: • 14T (14 trillion) parameters, 114 layers deep • 1,224 MoE experts, with 48 activated per token • 7.72 TB of weights, split across 772 Safetensors files • GDN + MLA hybrid architecture, with support for MTP (Multi-Token Prediction) • NVFP4 quantization, reportedly from the mid-stage of pre-training Took a look at the repo — it does indeed list model configs, architecture implementations, training metadata, and a large number of weight shards. It's not just an empty README. The author also claims that "numbat" is an internal codename that appeared in the earlier Claude Code source code leak. If this is real, it may be one of the most staggering closed-source model weight leaks in history. Do you guys think it's a genuine leak, or a fabricated fake model? 👀 #Anthropic #Claude #Mythos #HuggingFace #LLM #AI
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Cached at: 11/01/26, 05:56 PM

💀 Anthropic’s Mythos-class model, allegedly uploaded straight to Hugging Face?

A repo named burner22/numbat claims to have obtained an internal Anthropic training checkpoint, and the scale is pretty absurd:

  • 14T (14 trillion) parameters, 114 layers
  • 1,224 MoE experts, with 48 active per token
  • 7.72 TB of weights, split across 772 Safetensors files
  • A GDN + MLA hybrid architecture with MTP (multi-token prediction) support
  • NVFP4 quantization, reportedly from mid-pretraining

Taking a look at the repo, it does indeed list the model config, architecture implementation, training metadata, and a large number of weight shards — not just an empty README.

The author also claims that “numbat” is an internal codename that previously appeared in the Claude Code source code leak.

If this is real, it could be one of the most stunning closed-source model weight leaks in history.

Real leak, or a deliberately designed fake model? 👀

#Anthropic #Claude #Mythos #HuggingFace #LLM #AI

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