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InternVL Chat ViT 6B Vicuna 7B by OpenGVLab

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InternVL Chat ViT 6B Vicuna 7B is an open-source language model by OpenGVLab. Features: 6b LLM, VRAM: 25.4GB, Context: 4K, LLM Explorer Score: 0.11.

  Arxiv:2312.14238 Base model:lmsys/vicuna-7b-v1.... Base model:merge:lmsys/vicuna-... Base model:merge:opengvlab/int... Base model:opengvlab/internvit...   Llava   Pytorch   Region:us   Sharded   Tensorboard   Visual-question-answering
Model Card on HF 🤗: https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B 

InternVL Chat ViT 6B Vicuna 7B Benchmarks

LLME Score: 0.11184
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
InternVL Chat ViT 6B Vicuna 7B (OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B)
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InternVL Chat ViT 6B Vicuna 7B Parameters and Internals

Model Type 
vision, vision-language, multimodal
Use Cases 
Areas:
Research on large multimodal models and chatbots
Supported Languages 
primary (multilingual), additional ()
Training Details 
Data Sources:
LAION-en, LAION-multi, LAION-COCO, COYO, Wukong, CC12M, CC3M, SBU
Data Volume:
558K filtered image-text pairs, 158K GPT-generated multimodal instruction-following data, 450K academic-task-oriented VQA data mixture, 40K ShareGPT data
Methodology:
Fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data
Training Time:
November 2023
Model Architecture:
Transformer
LLM NameInternVL Chat ViT 6B Vicuna 7B
Repository 🤗https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B 
Base Model(s)  OpenGVLab/InternViT-6B-224px   lmsys/vicuna-7b-v1.5   OpenGVLab/InternViT-6B-224px   lmsys/vicuna-7b-v1.5
Model Size6b
Required VRAM25.4 GB
Updated2026-04-11
MaintainerOpenGVLab
Model Typellava
Model Files  0.1 GB   10.0 GB: 1-of-3   10.0 GB: 2-of-3   5.4 GB: 3-of-3
Model ArchitectureLlavaLlamaForCausalLM
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 Typebfloat16

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Yi VL 6B4K / 13.4 GB120124
...L Chat ViT 6B Vicuna 13B 448px4K / 37.9 GB154
...nternVL Chat ViT 6B Vicuna 13B4K / 37.9 GB317
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Note: green Score (e.g. "73.2") means that the model is better than OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B.

Rank the InternVL Chat ViT 6B Vicuna 7B 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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