Reverb 14B by ozone-research

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Reverb 14B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reverb 14B (ozone-research/Reverb-14b)
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Reverb 14B Parameters and Internals

LLM NameReverb 14B
Repository ๐Ÿค—https://huggingface.co/ozone-research/Reverb-14b 
Model Size14b
Required VRAM29.7 GB
Updated2025-06-17
Maintainerozone-research
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ozone-research/Reverb-14b.

Rank the Reverb 14B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124