Facebook Opt 6.7B Gqa Ub 16 Best For KV Cache by saarvajanik

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Facebook Opt 6.7B Gqa Ub 16 Best For KV Cache Benchmarks

Facebook Opt 6.7B Gqa Ub 16 Best For KV Cache (saarvajanik/facebook-opt-6.7b-gqa-ub-16-best-for-KV-cache)

Facebook Opt 6.7B Gqa Ub 16 Best For KV Cache Parameters and Internals

Model Type 
Question Answering, Text Processing
Additional Notes 
This version employs a modified MHA architecture with 16 groups of KV heads per layer.
Supported Languages 
en (High)
LLM NameFacebook Opt 6.7B Gqa Ub 16 Best For KV Cache
Repository ๐Ÿค—https://huggingface.co/saarvajanik/facebook-opt-6.7b-gqa-ub-16-best-for-KV-cache 
Model Size6.7b
Required VRAM27.4 GB
Updated2024-12-22
Maintainersaarvajanik
Model Typeopt
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   7.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.23.1
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 saarvajanik/facebook-opt-6.7b-gqa-ub-16-best-for-KV-cache.

Rank the Facebook Opt 6.7B Gqa Ub 16 Best For KV Cache 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 v20241217