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Uni MoE Speech Base by Uni-MoE

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Uni MoE Speech Base is an open-source language model by Uni-MoE. Features: LLM, VRAM: 80.5GB, Context: 4K, License: apache-2.0, MoE, LLM Explorer Score: 0.12.

  Endpoints compatible   Llava   Moe   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Uni-MoE/Uni-MoE-speech-base 

Uni MoE Speech Base Benchmarks

LLME Score: 0.12391
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 (Uni-MoE/Uni-MoE-speech-base)
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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
Updated2026-03-29
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

Best Alternatives to Uni MoE Speech Base

Best Alternatives
Context / RAM
Downloads
Likes
ConvLLaVA Pretrain 15364K / 14.9 GB72
ConvLLaVA Pretrain 7684K / 14.9 GB61
ConvLLaVA Sft 15364K / 14.9 GB180
ConvLLaVA Sft 7684K / 14.9 GB31
Dermatology LLaVA4K / 14.7 GB50
Uni MoE Speech Base Interval4K / 54.6 GB51
Uni MoE Audio Base4K / 53.4 GB141
Qilin Med VL Chat4K / 26 GB41
Qilin Med VL4K / 26.6 GB475
...iGraph 100 Percent Lora Merged4K / 26.6 GB60
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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