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Opt 125M Gptq 4bit by ameerazam08

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  4-bit   4bit   Autotrain compatible   Endpoints compatible   Gptq   Opt   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/ameerazam08/opt-125m-gptq-4bit 

Opt 125M Gptq 4bit Benchmarks

LLME Score: 0.12861
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 (ameerazam08/opt-125m-gptq-4bit)

Opt 125M Gptq 4bit Parameters and Internals

LLM NameOpt 125M Gptq 4bit
Repository 🤗https://huggingface.co/ameerazam08/opt-125m-gptq-4bit 
Model Size125m
Required VRAM0.1 GB
Updated2025-02-05
Maintainerameerazam08
Model Typeopt
Model Files  0.1 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.32.0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
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 ameerazam08/opt-125m-gptq-4bit.

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Release v20241227
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