Void
VoidStare
AI & ML interests
Target system consists of 2x 3090 & 3x 3080 for 78GB VRAM w/ ECC SDRAM, allowing for extra context on a single 80GB VRAM pool. Measurements included.
Organizations
None yet
models
30
VoidStare/QwQ-32B-ArliAI-RpR-v1-EXL2-6.5bpw-h8
Updated
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6
VoidStare/QwQ-32B-ArliAI-RpR-v1-EXL2-4.65bpw-h6
Updated
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4
VoidStare/reka-flash-3-EXL2-8bpw-h8
Updated
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8
VoidStare/Cydonia-24B-v2.1-EXL2-6.5bpw-h8
Updated
•
4
VoidStare/L3.3-Mokume-Gane-R1-70b-v1.1-EXL2-6.5bpw-h8
Updated
•
5
VoidStare/L3.3-Mokume-Gane-R1-70b-v1.1-EXL2-4.65bpw-h6
Updated
•
4
VoidStare/L3.3-Cu-Mai-R1-70b-EXL2-6.5bpw-h8
Text Generation
•
Updated
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5
VoidStare/L3.3-Cu-Mai-R1-70b-EXL2-4.65bpw-h6
Text Generation
•
Updated
•
5
VoidStare/L3.3-San-Mai-R1-70b-EXL2-6.5bpw-h8
Text Generation
•
Updated
•
5
VoidStare/L3.3-San-Mai-R1-70b-EXL2-4.65bpw-h6
Text Generation
•
Updated
•
6
datasets
0
None public yet