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Facebook Opt 125M Qcqa Ub 6 Best For Q Loss by xformAI

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Facebook Opt 125M Qcqa Ub 6 Best For Q Loss is an open-source language model by xformAI. Features: 125m LLM, VRAM: 0.5GB, Context: 2K, License: mit, HF Score: 28.4, LLM Explorer Score: 0.17, Arc: 23.3, HellaSwag: 25.6, MMLU: 23.2, TruthfulQA: 49, WinoGrande: 49.2.

  En   Endpoints compatible   Opt   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/xformAI/facebook-opt-125m-qcqa-ub-6-best-for-q-loss 

Facebook Opt 125M Qcqa Ub 6 Best For Q Loss Benchmarks

ARC: 23.29 vs 96.7 (so35)-75.9%
HellaSwag: 25.57 vs 95.3 (gpt4)-73.2%
MMLU: 23.15 vs 88.3 (so35)-73.8%
TruthfulQA: 49.03 vs 59 (gpt4)-16.9%
WinoGrande: 49.17 vs 87.5 (gpt4)-43.8%
LLME Score: 0.17463
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 Qcqa Ub 6 Best For Q Loss (xformAI/facebook-opt-125m-qcqa-ub-6-best-for-q-loss)
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Facebook Opt 125M Qcqa Ub 6 Best For Q Loss Parameters and Internals

Model Type 
transformers, quality-concerned query-aware question answering (QCQA)
Additional Notes 
The model is a QCQA version maintaining the original MHA architecture with modified K/V heads for efficiency.
Supported Languages 
en (proficient)
LLM NameFacebook Opt 125M Qcqa Ub 6 Best For Q Loss
Repository 🤗https://huggingface.co/xformAI/facebook-opt-125m-qcqa-ub-6-best-for-q-loss 
Model Size125m
Required VRAM0.5 GB
Updated2026-03-29
MaintainerxformAI
Model Typeopt
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.26.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50272
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than xformAI/facebook-opt-125m-qcqa-ub-6-best-for-q-loss.

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