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Gryphe / llama

MythoMax-L2-13b

Parameter count not published.

Architecturepublished data

Architecture available · weight sizes unavailable

Weight sizeno data

This snapshot holds MythoMax-L2-13b’s architecture but no weight size for any format, so the calculator cannot answer for it and it has no hardware table.

Why: Neither a published artifact nor a published parameter count exists for this model at its pinned revision. A size is never inferred from the model’s name.

The coverage page explains what the catalogue does not size, and why.

Under the hood

Architecture, read from the publisher’s file

The numbers every figure above is computed from, with the file they came from.

Architecture

✓ Architecture read from the published config.json

Retrieved 2026-09-01 at pinned commit 58e77dd48a65.

Architecture
llama
Layers
40
Hidden size
5,120
Attention heads
40
KV heads
40
Feed-forward width
13,824
Vocabulary
32,000
Context ceiling
4,096

Where the memory goes

tokenembedding× 40 decoder blocksMulti-head attention40 query · 40 KV headsfull contextFeed-forwardone networkall activeoutputprojectiongrows with contextfixed per token

Every attention head caches its own keys and values, so the KV cache grows at the full multi-head rate with context.

Citing this page

LLM Bottleneck. “MythoMax-L2-13b VRAM and hardware requirements.” Architecture from Gryphe/MythoMax-L2-13b at revision 58e77dd48a65, retrieved 2026-09-01. https://llmbottleneck.com/models/gryphe-mythomax-l2-13b

Every figure above is either the published value or a reconstruction whose measured error is on the accuracy page.

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