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Opt 125M GPTQ 2 by oivlisnet

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Opt 125M GPTQ 2 is an open-source language model by oivlisnet. Features: 125m LLM, VRAM: 0.1GB, Context: 2K, Quantized, LLM Explorer Score: 0.11.

  4-bit   Endpoints compatible   Gptq   Opt   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/oivlisnet/opt-125m-GPTQ-2 

Opt 125M GPTQ 2 Benchmarks

LLME Score: 0.11053
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 125M GPTQ 2 (oivlisnet/opt-125m-GPTQ-2)
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Opt 125M GPTQ 2 Parameters and Internals

LLM NameOpt 125M GPTQ 2
Repository 🤗https://huggingface.co/oivlisnet/opt-125m-GPTQ-2 
Model Size125m
Required VRAM0.1 GB
Updated2026-05-10
Maintaineroivlisnet
Model Typeopt
Model Files  0.1 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than oivlisnet/opt-125m-GPTQ-2.

Rank the Opt 125M GPTQ 2 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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