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Link architecture explainer from Space
#7
by alphabell-research - opened
README.md
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@@ -41,6 +41,8 @@ Explore two different architectures with real Q8_0 tensor captures: Flint's spar
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[**Explore the layer map**](https://alphabell-model-observatory.static.hf.space/architecture/index.html) to compare Nanbeige4.3-33B's 52 full-attention layers with the Qwen3.8-27B text decoder's 48 recurrent linear and 16 full-attention layers. This comparison uses published configurations; the measured captures in this Space are Flint and Qwen.
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## Five measured experiments
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[**Open all five experiments**](https://alphabell-model-observatory.static.hf.space/experiments/index.html)
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[**Explore the layer map**](https://alphabell-model-observatory.static.hf.space/architecture/index.html) to compare Nanbeige4.3-33B's 52 full-attention layers with the Qwen3.8-27B text decoder's 48 recurrent linear and 16 full-attention layers. This comparison uses published configurations; the measured captures in this Space are Flint and Qwen.
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[Read the architecture explainer](https://huggingface.co/blog/alphabell/nanbeige-qwen-layer-map) for pinned sources and a matched runtime test that could measure how context length affects each model.
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## Five measured experiments
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[**Open all five experiments**](https://alphabell-model-observatory.static.hf.space/experiments/index.html)
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