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Video LLaVA 7B GPTQ 4bit V1 by GuardisAI

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Video LLaVA 7B GPTQ 4bit V1 is an open-source language model by GuardisAI. Features: 7b LLM, VRAM: 5.3GB, Context: 4K, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit   Autotrain compatible   Endpoints compatible   Gptq   Llava   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/GuardisAI/Video-LLaVA-7B-GPTQ-4bit-V1 

Video LLaVA 7B GPTQ 4bit V1 Benchmarks

LLME Score: 0.12695
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Video LLaVA 7B GPTQ 4bit V1 (GuardisAI/Video-LLaVA-7B-GPTQ-4bit-V1)
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Video LLaVA 7B GPTQ 4bit V1 Parameters and Internals

LLM NameVideo LLaVA 7B GPTQ 4bit V1
Repository 🤗https://huggingface.co/GuardisAI/Video-LLaVA-7B-GPTQ-4bit-V1 
Model Size7b
Required VRAM5.3 GB
Updated2024-10-16
MaintainerGuardisAI
Model Typellava
Model Files  5.3 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.33.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Video LLaVA 7B GPTQ 4bit V1

Best Alternatives
Context / RAM
Downloads
Likes
Llava 1.6 Gptq 8bit32K / 9.6 GB50
Llava 1.6 Gptq 4bit32K / 6 GB91
Video LLaVA 7B GPTQ 4bit V04K / 5.3 GB50
ShareGPT4V 7B GPTQ4K / 3.9 GB03
Llava Merged Finetuned 7b32K / 15.1 GB41
Llava V1.6 Mistral 7B PATCHED32K / 15.1 GB178
KoLLaVA V1.5 Synatra 7B32K / 15.1 GB278
Llava V1.5 7B4K / 13.5 GB186377550
Llava V1.6 Vicuna 7B4K / 14.1 GB30692144
Quilt Llava V1.5 7B4K / 14.2 GB386429
Note: green Score (e.g. "73.2") means that the model is better than GuardisAI/Video-LLaVA-7B-GPTQ-4bit-V1.

Rank the Video LLaVA 7B GPTQ 4bit 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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