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Crystal Based MLLM 7B by qazimbhat1

 »  All LLMs  »  qazimbhat1  »  Crystal Based MLLM 7B   URL Share it on

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  Arxiv:2406.20098   Autotrain compatible   Custom code   En   Endpoints compatible   Llava crystal   Mllm   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/qazimbhat1/Crystal-based-MLLM-7B 

Crystal Based MLLM 7B Benchmarks

LLME Score: 0.20214
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Crystal Based MLLM 7B (qazimbhat1/Crystal-based-MLLM-7B)

Crystal Based MLLM 7B Parameters and Internals

Model Type 
multi-modal, large language model, vision language model
Additional Notes 
CrystalChat-7B-MLLM is a fully-reproducible vision language model.
Supported Languages 
English (Fluent)
Training Details 
Data Sources:
LLaVA Visual Instruct Pretrain LCS-558K, LLaVA Visual Instruct 150K, ShareGPT, ScienceQA, TextVQA
Data Volume:
665K samples
Methodology:
Pretraining followed by finetuning
Model Architecture:
Based on Vicuna-7B with CLIP ViT-L/14-336px vision encoder
LLM NameCrystal Based MLLM 7B
Repository 🤗https://huggingface.co/qazimbhat1/Crystal-based-MLLM-7B 
Model Size7b
Required VRAM13.8 GB
Updated2025-01-16
Maintainerqazimbhat1
Model Typellava_crystal
Model Files  9.9 GB: 1-of-2   3.9 GB: 2-of-2   0.0 GB
Supported Languagesen
Model ArchitectureLlavaCrystalForCausalLM
Licensemit
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassCrystalCoderTokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32032
Torch Data Typebfloat16
Activation Functionswiglu

Rank the Crystal Based MLLM 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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