ShareGPT4V 7B 5GB by 4bit

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  Autotrain compatible   Endpoints compatible   Llava   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/4bit/ShareGPT4V-7B-5GB 

ShareGPT4V 7B 5GB Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ShareGPT4V 7B 5GB (4bit/ShareGPT4V-7B-5GB)
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ShareGPT4V 7B 5GB Parameters and Internals

LLM NameShareGPT4V 7B 5GB
Repository ๐Ÿค—https://huggingface.co/4bit/ShareGPT4V-7B-5GB 
Model Size7b
Required VRAM14.1 GB
Updated2025-08-22
Maintainer4bit
Model Typellava
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.2 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 Typefloat16

Quantized Models of the ShareGPT4V 7B 5GB

Model
Likes
Downloads
VRAM
ShareGPT4V 7B GPTQ333 GB

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LLaVA NeXT Video 7B DPO4K / 14.2 GB309828
Table Llava V1.5 7B4K / 14.2 GB2013
Vlm Rlaif Video Llava 7b4K / 14.2 GB50
...va 1.5 Image Classification V34K / 23.3 GB60
Note: green Score (e.g. "73.2") means that the model is better than 4bit/ShareGPT4V-7B-5GB.

Rank the ShareGPT4V 7B 5GB Capabilities

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124