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Quantized Opt 125M by Lkynnn

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  4-bit   4bit   Autotrain compatible   Endpoints compatible   Gptq   Opt   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Lkynnn/Quantized_opt-125m 

Quantized Opt 125M Benchmarks

LLME Score: 0.17821
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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Quantized Opt 125M Parameters and Internals

LLM NameQuantized Opt 125M
Repository 🤗https://huggingface.co/Lkynnn/Quantized_opt-125m 
Model Size125m
Required VRAM0.2 GB
Updated2025-06-10
MaintainerLkynnn
Model Typeopt
Model Files  0.2 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureOPTForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.27.1
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu
Quantized Opt 125M (Lkynnn/Quantized_opt-125m)

Best Alternatives to Quantized Opt 125M

Best Alternatives
Context / RAM
Downloads
Likes
Opt 125M Gptq2K / 0.1 GB39930
Opt 125M Gptq2K / 0.1 GB140
Opt 125M Gptq 4bit2K / 0.1 GB240
Opt 125M Gptq 4bit2K / 0.1 GB322300
Slc Opt 125M Gptq2K / 0.1 GB320
Opt 125M GPTQ 22K / 0.1 GB141
Opt 125M Gptq 4bits2K / 0.1 GB341
Opt 125M Gptq2K / 0.1 GB211
Opt 125M Gptq 4bit2K / 0.1 GB150
Opt 125M 4bit 128g2K / 0.2 GB291
Note: green Score (e.g. "73.2") means that the model is better than Lkynnn/Quantized_opt-125m.

Rank the Quantized Opt 125M Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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