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

By xformAI · 57 downloads

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, LLM Explorer Score: 0.15, Arc: 23.3, HellaSwag: 25.6, MMLU: 23.2.

  En   Endpoints compatible   Opt   Pytorch   Region:us

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 πŸ€—https://huggingface.co/xformAI/facebook-opt-125m-qcqa-ub-6-best-for-q-loss 
Model Size125m
Required VRAM0.5 GB
Updated2026-08-01
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.