The published configuration
- Hidden size: 4,096.
- Layers: 60.
- Attention: 32 query heads, 8 key/value heads, multi-query attention enabled.
- Feed-forward hidden size: 16,384 with a factor of 4.
- Vocabulary: 65,024 tokens, untied embeddings.
- Rotary position embeddings with theta 500,042.
- Context window: 8,192 tokens.
Why the head count matters
Thirty-two query heads sharing eight key/value heads means the KV cache is a quarter of what a full multi-head configuration would need. That is why an 11B model can serve a useful amount of context on a single 24 GB GPU without the cache becoming the dominant cost.
What is not published
TII does not break down the parameter count by component, so there is no published figure separating embeddings, attention and feed-forward parameters. Anyone quoting a split is estimating, not reporting.
Related pages
Sources
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