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Facebook Opt 125M HQQ 2bit Smashed by PrunaAI

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Facebook Opt 125M HQQ 2bit Smashed is an open-source language model by PrunaAI. Features: 125m LLM, VRAM: 0.1GB, Context: 2K, Quantized, LLM Explorer Score: 0.13.

  2bit   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: 0.12978
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)
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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
Updated2025-09-23
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.

Rank the Facebook Opt 125M HQQ 2bit Smashed Capabilities

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