How I select models ? First, I bench them, to trim the overfit & dumbified models. Then, I test them. The smartest to my taste end-up here.
Nexes the Elder
Nexesenex
AI & ML interests
Maintaining KoboldCPP fork Croco.Cpp.
Looting PRs here and there.
Merging since the 11/02/2025, happily so. Stay tuned!
Making quants often requiring IK_Llama.cpp or Croco.Cpp to run.
Sharing my favorite models quants (recently 70b-123b for bi and tri GPU rigs).
Barking at many trees.
Thanks to Mradermacher and Bartowski for their imatrixes, I'm using them extensively.
Note : Don't make quants of my merges until they are versioned! (Vx or Vx.x)
Recent Activity
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a model
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NexesQuants/Llama_3.x_70b_Triads_V5-iMat-CQ-GGUF
updated
a model
about 1 hour ago
Nexesenex/Llama_3.x_70b_Triads_V6
published
a model
about 1 hour ago
Nexesenex/Llama_3.x_70b_Triads_V6
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2
models
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Nexesenex/Llama_3.x_70b_Triads_V6
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Nexesenex/Llama_3.x_70b_Trojka_V1
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Nexesenex/Llama_3.x_70b_Triads_V5
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Nexesenex/Llama_3.x_70b_Triads_V3
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Nexesenex/Llama_3.x_70b_Hexagon_Purple_V1
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Nexesenex/Llama_3.x_70b_SmarTracks_V1.01
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Nexesenex/Llama_3.x_70b_FreeFaller_R1_V1.21
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Nexesenex/Llama_3.x_70b_PentEva_FreeEra_V1.11
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Nexesenex/Llama_3.3_70b_DeepSeek_R1_Dropable_V1.01
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Nexesenex/Llama_3.x_70b_Erasmus_V1.11
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datasets
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