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Uni MoE Speech Base by Uni-MoE

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  Autotrain compatible   Endpoints compatible   Llava   Moe   Pytorch   Region:us   Sharded

Uni MoE Speech Base Benchmarks

LLME Score: 0.19255
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 Parameters and Internals

LLM NameUni MoE Speech Base
Repository 🤗https://huggingface.co/Uni-MoE/Uni-MoE-speech-base 
Required VRAM80.5 GB
Updated2024-10-18
MaintainerUni-MoE
Model Typellava
Model Files  0.3 GB   0.0 GB   9.9 GB: 1-of-9   9.9 GB: 2-of-9   10.0 GB: 3-of-9   9.9 GB: 4-of-9   9.9 GB: 5-of-9   9.9 GB: 6-of-9   9.9 GB: 7-of-9   10.0 GB: 8-of-9   1.1 GB: 9-of-9
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 (Uni-MoE/Uni-MoE-speech-base)

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Dermatology LLaVA4K / 14.7 GB280
Uni MoE Speech Base Interval4K / 54.6 GB41
Uni MoE Audio Base4K / 53.4 GB11
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Qilin Med VL4K / 26.6 GB34
...r Ft 60K Interleaf Lora Merged4K / 26.6 GB50
Note: green Score (e.g. "73.2") means that the model is better than Uni-MoE/Uni-MoE-speech-base.

Rank the Uni MoE Speech Base Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v2024072803
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