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LVIS Instruct4V LLaVA Instruct Mix880k 7B by X2FD

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LVIS Instruct4V LLaVA Instruct Mix880k 7B is an open-source language model by X2FD. Features: 7b LLM, VRAM: 14.2GB, Context: 4K, Instruction-Based, LLM Explorer Score: 0.1.

  Endpoints compatible   Instruct   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/X2FD/LVIS-Instruct4V-LLaVA-Instruct-mix880k-7b 

LVIS Instruct4V LLaVA Instruct Mix880k 7B Benchmarks

LLME Score: 0.10079
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LVIS Instruct4V LLaVA Instruct Mix880k 7B (X2FD/LVIS-Instruct4V-LLaVA-Instruct-mix880k-7b)
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LVIS Instruct4V LLaVA Instruct Mix880k 7B Parameters and Internals

LLM NameLVIS Instruct4V LLaVA Instruct Mix880k 7B
Repository 🤗https://huggingface.co/X2FD/LVIS-Instruct4V-LLaVA-Instruct-mix880k-7b 
Model Size7b
Required VRAM14.2 GB
Updated2026-04-13
MaintainerX2FD
Model Typellava
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   4.2 GB: 2-of-2
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

Best Alternatives to LVIS Instruct4V LLaVA Instruct Mix880k 7B

Best Alternatives
Context / RAM
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Llava V1.6 Mistral 7B PATCHED32K / 15.1 GB178
Quilt Llava V1.5 7B4K / 14.2 GB386429
Table Llava V1.5 7B4K / 14.2 GB2713
Co Instruct Llava V1.5 7B4K / 14.1 GB101
...V1.5 7b Qinstruct Preview V0.14K / 14.2 GB11105
Chinese LLaVA Baichuan2K / 28 GB319
KoLLaVA KoVicuna 7B2K / 27 GB2613
Llava 1.6 Gptq 8bit32K / 9.6 GB50
Note: green Score (e.g. "73.2") means that the model is better than X2FD/LVIS-Instruct4V-LLaVA-Instruct-mix880k-7b.

Rank the LVIS Instruct4V LLaVA Instruct Mix880k 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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