TinyLLaVA 1.5B by bczhou

 ยป  All LLMs  ยป  bczhou  ยป  TinyLLaVA 1.5B   URL Share it on

  Arxiv:2402.14289   Autotrain compatible   Conversational   Dataset:lin-chen/sharegpt4v Dataset:liuhaotian/llava-instr... Dataset:liuhaotian/llava-pretr...   En   Endpoints compatible   Image-text-to-text   Instruct   Llava   Lmm   Region:us   Safetensors   Sharded   Tensorflow   Tinyllava   Vision   Vision-language   Zh
Model Card on HF ๐Ÿค—: https://huggingface.co/bczhou/TinyLLaVA-1.5B 

TinyLLaVA 1.5B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLLaVA 1.5B (bczhou/TinyLLaVA-1.5B)

TinyLLaVA 1.5B Parameters and Internals

Model Type 
text generation, multimodal, vision-language
Additional Notes 
TinyLLaVA models are designed to provide high performance with fewer parameters.
Supported Languages 
en (English), zh (Chinese)
Training Details 
Data Sources:
LLaVA, ShareGPT4V
Data Volume:
558K LAION-CC-SBU subset
Methodology:
Pretrained and finetuned
Context Length:
3072
Model Architecture:
Small-scale Large Multimodal Model
Input Output 
Input Format:
image-text prompt
Accepted Modalities:
image, text
Output Format:
text
Release Notes 
Version:
TinyLLaVA-1.4B
Date:
2024-01-11
Notes:
First model release.
Version:
TinyLLaVA-1.5B
Date:
2024-02-25
Notes:
Model release.
Version:
TinyLLaVA-2.0B
Date:
2024-02-25
Notes:
Model release.
Version:
TinyLLaVA-3.1B
Date:
2024-02-25
Notes:
Model release.
LLM NameTinyLLaVA 1.5B
Repository ๐Ÿค—https://huggingface.co/bczhou/TinyLLaVA-1.5B 
Model Size1.5b
Required VRAM6 GB
Updated2025-02-22
Maintainerbczhou
Model Typetinyllava
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.0 GB: 2-of-2   0.0 GB
Supported Languagesen zh
Model ArchitectureTinyLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Rank the TinyLLaVA 1.5B Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227