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Llava Jp 1.3B V1.1 Llava Jp Instruct 108K by toshi456

 »  All LLMs  »  toshi456  »  Llava Jp 1.3B V1.1 Llava Jp Instruct 108K   URL Share it on

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  Autotrain compatible Dataset:toshi456/llava-jp-inst... Dataset:turing-motors/llava-pr...   Endpoints compatible   Image-to-text   Instruct   Ja   Llava-jp   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/toshi456/llava-jp-1.3b-v1.1-llava-jp-instruct-108k 

Llava Jp 1.3B V1.1 Llava Jp Instruct 108K Benchmarks

LLME Score: 0.18531
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Jp 1.3B V1.1 Llava Jp Instruct 108K (toshi456/llava-jp-1.3b-v1.1-llava-jp-instruct-108k)

Llava Jp 1.3B V1.1 Llava Jp Instruct 108K Parameters and Internals

Model Type 
image-to-text
Use Cases 
Areas:
research, commercial applications
Supported Languages 
ja (Japanese)
Training Details 
Data Sources:
toshi456/llava-jp-instruct-108k, turing-motors/LLaVA-Pretrain-JA
Methodology:
Two-stage training approach using Vision Projector and fine-tuning with LLaVA-JP-Instruct-108K.
Context Length:
1532
LLM NameLlava Jp 1.3B V1.1 Llava Jp Instruct 108K
Repository 🤗https://huggingface.co/toshi456/llava-jp-1.3b-v1.1-llava-jp-instruct-108k 
Model Size1.3b
Required VRAM6.6 GB
Updated2025-02-22
Maintainertoshi456
Model Typellava-jp
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.6 GB: 2-of-2
Supported Languagesja
Model ArchitectureLlavaGpt2ForCausalLM
Licenseapache-2.0
Model Max Length1532
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<unk|LLM-jp>
Vocabulary Size50688
Torch Data Typefloat32
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than toshi456/llava-jp-1.3b-v1.1-llava-jp-instruct-108k.

Rank the Llava Jp 1.3B V1.1 Llava Jp Instruct 108K 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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Release v20241227
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