Pythia 70M Deduped Int4 GPTQ Wikitext2 by Xu-Ouyang

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Endpoints compatible   Gpt neox   Gptq   Quantized   Region:us   Safetensors

Pythia 70M Deduped Int4 GPTQ Wikitext2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Pythia 70M Deduped Int4 GPTQ Wikitext2 Parameters and Internals

LLM NamePythia 70M Deduped Int4 GPTQ Wikitext2
Repository ๐Ÿค—https://huggingface.co/Xu-Ouyang/pythia-70m-deduped-int4-GPTQ-wikitext2 
Model Size70m
Required VRAM0.2 GB
Updated2025-06-09
MaintainerXu-Ouyang
Model Typegpt_neox
Model Files  0.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat32
Pythia 70M Deduped Int4 GPTQ Wikitext2 (Xu-Ouyang/pythia-70m-deduped-int4-GPTQ-wikitext2)

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Note: green Score (e.g. "73.2") means that the model is better than Xu-Ouyang/pythia-70m-deduped-int4-GPTQ-wikitext2.

Rank the Pythia 70M Deduped Int4 GPTQ Wikitext2 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