Qwen1.5 32B Chat Quip 3bit by Minami-su

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  3bit   Autotrain compatible   Conversational   Endpoints compatible   Pytorch   Quantized   Quip   Qwen2   Region:us   Sharded

Rank the Qwen1.5 32B Chat Quip 3bit 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  
Qwen1.5 32B Chat Quip 3bit (Minami-su/Qwen1.5-32B-Chat-quip-3bit)

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Qwen1.5 32B Chat Quip 3bit Parameters and Internals

LLM NameQwen1.5 32B Chat Quip 3bit
RepositoryOpen on ๐Ÿค— 
Model Size32b
Required VRAM14.8 GB
Updated2024-06-23
MaintainerMinami-su
Model Typeqwen2
Model Files  10.0 GB: 1-of-2   4.8 GB: 2-of-2
Quantization Type3bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.2
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