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CuMo Mixtral 8x7b by shi-labs

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  Autotrain compatible   Conversational   Endpoints compatible   Llava mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/shi-labs/CuMo-mixtral-8x7b 

CuMo Mixtral 8x7b Benchmarks

LLME Score: 0.18405
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CuMo Mixtral 8x7b (shi-labs/CuMo-mixtral-8x7b)

CuMo Mixtral 8x7b Parameters and Internals

Model Type 
multimodal
Use Cases 
Areas:
research
Applications:
large multimodal models, chatbots
LLM NameCuMo Mixtral 8x7b
Repository 🤗https://huggingface.co/shi-labs/CuMo-mixtral-8x7b 
Model Size47.7b
Required VRAM95.6 GB
Updated2025-02-22
Maintainershi-labs
Model Typellava_mixtral
Model Files  4.9 GB: 1-of-20   5.0 GB: 2-of-20   5.0 GB: 3-of-20   4.9 GB: 4-of-20   5.0 GB: 5-of-20   5.0 GB: 6-of-20   4.9 GB: 7-of-20   5.0 GB: 8-of-20   5.0 GB: 9-of-20   4.9 GB: 10-of-20   5.0 GB: 11-of-20   5.0 GB: 12-of-20   5.0 GB: 13-of-20   4.9 GB: 14-of-20   5.0 GB: 15-of-20   5.0 GB: 16-of-20   4.9 GB: 17-of-20   5.0 GB: 18-of-20   5.0 GB: 19-of-20   1.2 GB: 20-of-20   0.0 GB
Model ArchitectureLlavaMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Rank the CuMo Mixtral 8x7b 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 v20241227
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