Skylaude
/

WizardLM-2-4x7B-MoE

Text Generation

Microsoft/WizardLM-2-7B

text-generation-inference

Inference Endpoints

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Skylaude commited on Apr 17

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@@ -17,12 +17,12 @@ Please be sure to set experts per token to 4 for the best results! Context lengt
 # Quanitized versions
 EXL2 (for fast GPU-only inference): <br />
-8_0bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-8_0bpw (~25+ GB vram) <br />
-6_0bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-6_0bpw (~20+ GB vram) <br />
-5_0bpw: [coming soon] (~16+ GB vram) <br />
-4_25bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-4_25bpw (~14+ GB vram) <br />
-3_5bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-3_5bpw (~12+ GB vram) <br />
-3_0bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-3_0bpw (~11+ GB vram)
 GGUF (for mixed GPU+CPU inference or CPU-only inference):  <br />
 https://huggingface.co/mradermacher/WizardLM-2-4x7B-MoE-GGUF <br />

 # Quanitized versions
 EXL2 (for fast GPU-only inference): <br />
+8_0bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-8_0bpw (25+ GB vram) <br />
+6_0bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-6_0bpw (20+ GB vram) <br />
+5_0bpw: [coming soon] (16+ GB vram) <br />
+4_25bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-4_25bpw (14+ GB vram) <br />
+3_5bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-3_5bpw (12+ GB vram) <br />
+3_0bpw: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE-exl2-3_0bpw (11+ GB vram)
 GGUF (for mixed GPU+CPU inference or CPU-only inference):  <br />
 https://huggingface.co/mradermacher/WizardLM-2-4x7B-MoE-GGUF <br />