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WizardLM 2 8x22B EXL2 4.5bpw by Dracones

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  Autotrain compatible Base model:microsoft/wizardlm-... Base model:quantized:microsoft...   En   Endpoints compatible   Exl2   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Dracones/WizardLM-2-8x22B_exl2_4.5bpw 

WizardLM 2 8x22B EXL2 4.5bpw Benchmarks

LLME Score: 0.15341
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardLM 2 8x22B EXL2 4.5bpw (Dracones/WizardLM-2-8x22B_exl2_4.5bpw)
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WizardLM 2 8x22B EXL2 4.5bpw Parameters and Internals

Additional Notes 
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of the exllamav2 library.
LLM NameWizardLM 2 8x22B EXL2 4.5bpw
Repository 🤗https://huggingface.co/Dracones/WizardLM-2-8x22B_exl2_4.5bpw 
Base Model(s)  microsoft/WizardLM-2-8x22B   microsoft/WizardLM-2-8x22B
Required VRAM79.6 GB
Updated2025-08-15
MaintainerDracones
Model Typemixtral
Model Files  8.6 GB: 1-of-10   8.6 GB: 2-of-10   8.6 GB: 3-of-10   8.6 GB: 4-of-10   8.6 GB: 5-of-10   8.5 GB: 6-of-10   8.6 GB: 7-of-10   8.6 GB: 8-of-10   8.6 GB: 9-of-10   2.3 GB: 10-of-10
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Dracones/WizardLM-2-8x22B_exl2_4.5bpw.

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Release v20241124
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