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Llava Llama 3 8B MultiModal V1 by SrikanthChellappa

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Llava Llama 3 8B MultiModal V1 is an open-source language model by SrikanthChellappa. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Endpoints compatible   Image-text-to-text   Instruct   Llava llama   Lora   Multimodal   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SrikanthChellappa/Llava-Llama-3-8B-MultiModal-v1 

Llava Llama 3 8B MultiModal V1 Benchmarks

LLME Score: 0.13565
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Llama 3 8B MultiModal V1 (SrikanthChellappa/Llava-Llama-3-8B-MultiModal-v1)
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Llava Llama 3 8B MultiModal V1 Parameters and Internals

LLM NameLlava Llama 3 8B MultiModal V1
Repository 🤗https://huggingface.co/SrikanthChellappa/Llava-Llama-3-8B-MultiModal-v1 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-09-04
MaintainerSrikanthChellappa
Model Typellava_llama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_0|>
Vocabulary Size128256
LoRA ModelYes
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SrikanthChellappa/Llava-Llama-3-8B-MultiModal-v1.

Rank the Llava Llama 3 8B MultiModal V1 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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