Llava Next Interleave Qwen 0.5B by lmms-lab

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Llava Next Interleave Qwen 0.5B is an open-source language model by lmms-lab. Features: 0.5b LLM, VRAM: 1.7GB, Context: 32K, Fine-Tuned, LLM Explorer Score: 0.15.

  Arxiv:2407.07895   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Llava qwen   Region:us   Safetensors

Llava Next Interleave Qwen 0.5B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Next Interleave Qwen 0.5B (lmms-lab/llava-next-interleave-qwen-0.5b)
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Llava Next Interleave Qwen 0.5B Parameters and Internals

Model Type 
auto-regressive language model, transformer architecture
Use Cases 
Areas:
research on large multimodal models and chatbots
Primary Use Cases:
research exploration
LLM NameLlava Next Interleave Qwen 0.5B
Repository ๐Ÿค—https://huggingface.co/lmms-lab/llava-next-interleave-qwen-0.5b 
Model Size0.5b
Required VRAM1.7 GB
Updated2025-10-31
Maintainerlmms-lab
Model Typellava_qwen
Model Files  1.7 GB   0.0 GB
Model ArchitectureLlavaQwenForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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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.
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Release v20260328a