Uni MoE Speech Base Interval by Uni-MoE

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  Autotrain compatible   Endpoints compatible   Llava   Moe   Pytorch   Region:us   Sharded

Uni MoE Speech Base Interval Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Uni MoE Speech Base Interval Parameters and Internals

LLM NameUni MoE Speech Base Interval
Repository ๐Ÿค—https://huggingface.co/Uni-MoE/Uni-MoE-speech-base-interval 
Required VRAM54.6 GB
Updated2024-09-07
MaintainerUni-MoE
Model Typellava
Model Files  9.9 GB: 1-of-6   9.9 GB: 2-of-6   10.0 GB: 3-of-6   9.9 GB: 4-of-6   9.9 GB: 5-of-6   5.0 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32
Uni MoE Speech Base Interval (Uni-MoE/Uni-MoE-speech-base-interval)

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Note: green Score (e.g. "73.2") means that the model is better than Uni-MoE/Uni-MoE-speech-base-interval.

Rank the Uni MoE Speech Base Interval Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803