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WizardLM 2 8x22 EXL2 4.0bpw by bullerwins

 »  All LLMs  »  bullerwins  »  WizardLM 2 8x22 EXL2 4.0bpw   URL Share it on

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  Arxiv:2304.12244   Arxiv:2306.08568   Arxiv:2308.09583   4-bit   Autotrain compatible   Conversational   Endpoints compatible   Exl2   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bullerwins/WizardLM-2-8x22-exl2_4.0bpw 

WizardLM 2 8x22 EXL2 4.0bpw Benchmarks

LLME Score: 0.20685
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardLM 2 8x22 EXL2 4.0bpw (bullerwins/WizardLM-2-8x22-exl2_4.0bpw)

WizardLM 2 8x22 EXL2 4.0bpw Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Supported Languages 
en (Multilingual)
Training Details 
Methodology:
Fully AI powered synthetic training system
Input Output 
Input Format:
Adopts the prompt format from Vicuna
Accepted Modalities:
text
Performance Tips:
Supports multi-turn conversation
LLM NameWizardLM 2 8x22 EXL2 4.0bpw
Repository 🤗https://huggingface.co/bullerwins/WizardLM-2-8x22-exl2_4.0bpw 
Required VRAM70.9 GB
Updated2024-12-21
Maintainerbullerwins
Model Typemixtral
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   2.1 GB: 9-of-9
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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Rank the WizardLM 2 8x22 EXL2 4.0bpw Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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