Deita 32B EXL2 8.0bpw by KnutJaegersberg

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  8-bit   Autotrain compatible   Conversational   Endpoints compatible   Exl2   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Rank the Deita 32B EXL2 8.0bpw 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  
Deita 32B EXL2 8.0bpw (KnutJaegersberg/Deita-32b-exl2-8.0bpw)

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Deita 32B EXL2 8.0bpw Parameters and Internals

LLM NameDeita 32B EXL2 8.0bpw
RepositoryOpen on ๐Ÿค— 
Model Size32b
Required VRAM33.2 GB
Updated2024-07-01
MaintainerKnutJaegersberg
Model Typeqwen2
Model Files  8.5 GB: 1-of-4   8.6 GB: 2-of-4   8.5 GB: 3-of-4   7.6 GB: 4-of-4
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Initializer Range0.02
Torch Data Typefloat16
Errorsreplace

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801