WizardLM 2 8x22B Beige 4.0bpw H6 EXL2 by LoneStriker

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  Merged Model   Arxiv:2403.19522   4-bit   Autotrain compatible Base model:alpindale/wizardlm-... Base model:fireworks-ai/mixtra... Base model:migtissera/tess-2.0... Base model:openbmb/eurux-8x22b...   Conversational   Endpoints compatible   Exl2   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

WizardLM 2 8x22B Beige 4.0bpw H6 EXL2 Benchmarks

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 Beige 4.0bpw H6 EXL2 (LoneStriker/WizardLM-2-8x22B-Beige-4.0bpw-h6-exl2)

WizardLM 2 8x22B Beige 4.0bpw H6 EXL2 Parameters and Internals

Model Type 
merged model
Additional Notes 
This model is an attempt to tone down the purple prose of WizardLM2-8X22B.
Training Details 
Methodology:
Model was merged using the Model Stock merge method.
LLM NameWizardLM 2 8x22B Beige 4.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/WizardLM-2-8x22B-Beige-4.0bpw-h6-exl2 
Base Model(s)  Eurux 8x22b Nca   WizardLM 2 8x22B   Mixtral 8x22b Instruct Oh   migtissera/Tess-2.0-Mixtral-8x22B   openbmb/Eurux-8x22b-nca   alpindale/WizardLM-2-8x22B   fireworks-ai/mixtral-8x22b-instruct-oh   migtissera/Tess-2.0-Mixtral-8x22B
Merged ModelYes
Required VRAM70.8 GB
Updated2024-12-26
MaintainerLoneStriker
Model Typemixtral
Instruction-BasedYes
Model Files  8.6 GB: 1-of-9   8.6 GB: 2-of-9   8.6 GB: 3-of-9   8.6 GB: 4-of-9   8.6 GB: 5-of-9   8.6 GB: 6-of-9   8.6 GB: 7-of-9   8.6 GB: 8-of-9   2.0 GB: 9-of-9
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Context Length65536
Model Max Length65536
Transformers Version4.41.2
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 LoneStriker/WizardLM-2-8x22B-Beige-4.0bpw-h6-exl2.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227