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CuMo Mistral 7B by shi-labs

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  Autotrain compatible   Conversational   Endpoints compatible   Llava mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/shi-labs/CuMo-mistral-7b 

CuMo Mistral 7B Benchmarks

LLME Score: 0.18709
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CuMo Mistral 7B (shi-labs/CuMo-mistral-7b)

CuMo Mistral 7B Parameters and Internals

Model Type 
multimodal LLM
Use Cases 
Primary Use Cases:
research on large multimodal models and chatbots
LLM NameCuMo Mistral 7B
Repository 🤗https://huggingface.co/shi-labs/CuMo-mistral-7b 
Model Size7b
Required VRAM16.5 GB
Updated2025-02-22
Maintainershi-labs
Model Typellava_mistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.6 GB: 4-of-4   0.0 GB
Model ArchitectureLlavaMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to CuMo Mistral 7B

Best Alternatives
Context / RAM
Downloads
Likes
Llava V1.6 Mistral 7B32K / 15.1 GB44465234
Turkish BakLLaVa1.5 Mistral32K / 15.3 GB235
Llava Model32K / 15.1 GB60
Fc24 Mk332K / 20.6 GB60
Fc24 Mk232K / 20.6 GB80
Llava Mistral 7B Finetuned32K / 15.1 GB72
LLaVA NeXT Video 7B 32K32K / 15.1 GB477
Llava Mistral 7B Tokenizer32K /  GB62
Nous Hermes 2 Vision Alpha32K / 15.3 GB90303
Llava Maid 7B DPO32K / 14.5 GB253
Note: green Score (e.g. "73.2") means that the model is better than shi-labs/CuMo-mistral-7b.

Rank the CuMo Mistral 7B 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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Release v20241227
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