Opt 2.7B Realtime Chat V2 by AbrahamSanders

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  Autotrain compatible   Endpoints compatible   Generated from trainer   Opt   Pytorch   Region:us   Sharded   Tensorboard

Opt 2.7B Realtime Chat V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 2.7B Realtime Chat V2 (AbrahamSanders/opt-2.7b-realtime-chat-v2)
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Opt 2.7B Realtime Chat V2 Parameters and Internals

LLM NameOpt 2.7B Realtime Chat V2
Repository ๐Ÿค—https://huggingface.co/AbrahamSanders/opt-2.7b-realtime-chat-v2 
Model Size2.7b
Required VRAM11.1 GB
Updated2025-09-14
MaintainerAbrahamSanders
Model Typeopt
Model Files  10.0 GB: 1-of-2   1.1 GB: 2-of-2   0.0 GB
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50265
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AbrahamSanders/opt-2.7b-realtime-chat-v2.

Rank the Opt 2.7B Realtime Chat V2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124