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Opt 125M Gptq 4bit by ybelkada

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Opt 125M Gptq 4bit is an open-source language model by ybelkada. Features: 125m LLM, VRAM: 0.1GB, Context: 2K, Quantized, LLM Explorer Score: 0.09.

  4-bit   4bit   Endpoints compatible   Gptq   Opt   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/ybelkada/opt-125m-gptq-4bit 

Opt 125M Gptq 4bit Benchmarks

LLME Score: 0.08723
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 4bit (ybelkada/opt-125m-gptq-4bit)
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Opt 125M Gptq 4bit Parameters and Internals

LLM NameOpt 125M Gptq 4bit
Repository 🤗https://huggingface.co/ybelkada/opt-125m-gptq-4bit 
Model Size125m
Required VRAM0.1 GB
Updated2026-05-24
Maintainerybelkada
Model Typeopt
Model Files  0.1 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.32.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

Best Alternatives to Opt 125M Gptq 4bit

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Opt 125M Gptq2K / 0.1 GB50
Quantized Opt 125M2K / 0.2 GB100
Opt 125M Gptq 4bit2K / 0.1 GB50
Opt 125M Gptq2K / 0.1 GB170
Slc Opt 125M Gptq2K / 0.1 GB770
Opt 125M GPTQ 22K / 0.1 GB71
Opt 125M Gptq 4bits2K / 0.1 GB101
Opt 125M Gptq2K / 0.1 GB91
Opt 125M Gptq 4bit2K / 0.1 GB90
Opt 125M 4bit 128g2K / 0.2 GB51
Note: green Score (e.g. "73.2") means that the model is better than ybelkada/opt-125m-gptq-4bit.

Rank the Opt 125M Gptq 4bit Capabilities

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