Elliott Chinese LLaMa GPTQ V2.0 by elliotthwang

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  Autotrain compatible   Endpoints compatible   Gptq   Llama   Pytorch   Quantized   Region:us   Sharded

Elliott Chinese LLaMa GPTQ V2.0 Benchmarks

Elliott Chinese LLaMa GPTQ V2.0 (elliotthwang/Elliott-Chinese-LLaMa-GPTQ-V2.0)
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Elliott Chinese LLaMa GPTQ V2.0 Parameters and Internals

LLM NameElliott Chinese LLaMa GPTQ V2.0
Repository ๐Ÿค—https://huggingface.co/elliotthwang/Elliott-Chinese-LLaMa-GPTQ-V2.0 
Required VRAM13.5 GB
Updated2025-09-23
Maintainerelliotthwang
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than elliotthwang/Elliott-Chinese-LLaMa-GPTQ-V2.0.

Rank the Elliott Chinese LLaMa GPTQ V2.0 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124