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ConvLLaVA Pretrain 1536 by ConvLLaVA

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ConvLLaVA Pretrain 1536 is an open-source language model by ConvLLaVA. Features: LLM, VRAM: 14.9GB, Context: 4K, LLM Explorer Score: 0.14.

  Arxiv:2405.15738 Dataset:freedomintelligence/al...   Dataset:lin-chen/sharegpt4v Dataset:vision-flan/vision-fla...   Endpoints compatible   Llava   Pytorch   Region:us   Sharded   Vision
Model Card on HF 🤗: https://huggingface.co/ConvLLaVA/ConvLLaVA-pretrain-1536 

ConvLLaVA Pretrain 1536 Benchmarks

LLME Score: 0.13708
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ConvLLaVA Pretrain 1536 (ConvLLaVA/ConvLLaVA-pretrain-1536)
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ConvLLaVA Pretrain 1536 Parameters and Internals

Model Type 
multimodal, auto-regressive language model, transformer architecture
Use Cases 
Primary Use Cases:
research on large multimodal models, chatbots
Training Details 
Data Sources:
Lin-Chen/ShareGPT4V, FreedomIntelligence/ALLaVA-4V, Vision-Flan/vision-flan_191-task_1k
Model Architecture:
transformer architecture
LLM NameConvLLaVA Pretrain 1536
Repository 🤗https://huggingface.co/ConvLLaVA/ConvLLaVA-pretrain-1536 
Required VRAM14.9 GB
Updated2026-03-29
MaintainerConvLLaVA
Model Typellava
Model Files  10.0 GB: 1-of-2   4.9 GB: 2-of-2
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the ConvLLaVA Pretrain 1536 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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