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Jonna Matthiesen
JonnaMat
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JonnaMat
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🚗 The reasoning backbone quadruples from 8B to 32B , while the action expert remains at 2.3B! 👀 We took a closer look at the architectural evolution from https://huggingface.co/nvidia/Alpamayo-1.5-10B to https://huggingface.co/nvidia/Alpamayo2-Super . Read the analysis here: https://huggingface.co/blog/JonnaMat/alpamayo2-super Our analysis explores some implications of this design choice, especially from a distillation perspective where keeping the expert compact could be key for efficient deployment. 🧠
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2 days ago
🚗 The reasoning backbone quadruples from 8B to 32B , while the action expert remains at 2.3B! 👀 We took a closer look at the architectural evolution from https://huggingface.co/nvidia/Alpamayo-1.5-10B to https://huggingface.co/nvidia/Alpamayo2-Super . Read the analysis here: https://huggingface.co/blog/JonnaMat/alpamayo2-super Our analysis explores some implications of this design choice, especially from a distillation perspective where keeping the expert compact could be key for efficient deployment. 🧠
published
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2 days ago
Alpamayo 2 Super: The expert that didn't grow
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4 months ago
embedl/Cosmos-Reason2-2B-W4A16-Edge2-FlashHead
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2B
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May 19
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921
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9
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a model
5 months ago
moonshotai/Kimi-K2.5
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5 months ago
Running
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embedl/Cosmos-Reason2-2B-W4A16-Edge2
Image-Text-to-Text
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2B
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May 19
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97
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13
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8 models
8 months ago
embedl/Llama-3.2-3B-Instruct-FlashHead-W4A16
4B
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May 19
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26
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4
embedl/gemma-3-1b-it-FlashHead-W4A16
1B
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23
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embedl/Llama-3.2-3B-Instruct-FlashHead
3B
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May 19
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25
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embedl/gemma-3-1b-it-FlashHead
1.0B
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May 19
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23
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embedl/Llama-3.2-1B-Instruct-FlashHead-W4A16
2B
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May 19
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63
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embedl/Qwen3-1.7B-FlashHead-W4A16
2B
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May 19
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112
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embedl/Qwen3-1.7B-FlashHead
2B
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May 19
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146
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embedl/Llama-3.2-1B-Instruct-FlashHead
1B
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May 19
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164
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4