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Facebook Opt 125M HQQ 2bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Facebook Opt 125M HQQ 2bit Smashed   URL Share it on

  6   
  2bit   Autotrain compatible   Endpoints compatible   Opt   Pruna-ai   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/facebook-opt-125m-HQQ-2bit-smashed 

Facebook Opt 125M HQQ 2bit Smashed Benchmarks

LLME Score: 0.18423
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Facebook Opt 125M HQQ 2bit Smashed (PrunaAI/facebook-opt-125m-HQQ-2bit-smashed)

Facebook Opt 125M HQQ 2bit Smashed Parameters and Internals

Model Type 
Compressed Model
LLM NameFacebook Opt 125M HQQ 2bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/facebook-opt-125m-HQQ-2bit-smashed 
Model Size125m
Required VRAM0.1 GB
Updated2025-01-23
MaintainerPrunaAI
Model Typeopt
Model Files  0.1 GB
Quantization Type2bit
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.40.0
Vocabulary Size50272
Torch Data Typefloat16
Activation Functionrelu

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/facebook-opt-125m-HQQ-2bit-smashed.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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