Internlm Xcomposer2 4khd 7B by stanrom

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  Arxiv:2401.16420   Autotrain compatible   Custom code   Endpoints compatible   Internlmxcomposer2   Pytorch   Region:us   Sharded   Visual-question-answering

Internlm Xcomposer2 4khd 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm Xcomposer2 4khd 7B (stanrom/internlm-xcomposer2-4khd-7b)

Internlm Xcomposer2 4khd 7B Parameters and Internals

Model Type 
general vision-language large model, text generation
Input Output 
Input Format:
Queries with an associated image path of supported formats such as '.webp'.
Accepted Modalities:
text, image
Output Format:
Textual descriptions or answers based on input queries and images.
Performance Tips:
Use torch_dtype=torch.bfloat16 to prevent OOM errors. Make sure Cuda is available to leverage GPU acceleration.
LLM NameInternlm Xcomposer2 4khd 7B
Repository ๐Ÿค—https://huggingface.co/stanrom/internlm-xcomposer2-4khd-7b 
Model Size7b
Required VRAM17.2 GB
Updated2025-02-22
Maintainerstanrom
Model Typeinternlmxcomposer2
Model Files  10.0 GB: 1-of-2   7.2 GB: 2-of-2
Model ArchitectureInternLM2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.33.1
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than stanrom/internlm-xcomposer2-4khd-7b.

Rank the Internlm Xcomposer2 4khd 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