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Llava 1.6 Gptq 4bit by panoyo9829

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Llava 1.6 Gptq 4bit is an open-source language model by panoyo9829. Features: 7b LLM, VRAM: 6GB, Context: 32K, Quantized, LLM Explorer Score: 0.12.

  4-bit   4bit   Conversational   Endpoints compatible   Gptq   Llava   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/panoyo9829/llava-1.6-gptq-4bit 

Llava 1.6 Gptq 4bit Benchmarks

LLME Score: 0.11688
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava 1.6 Gptq 4bit (panoyo9829/llava-1.6-gptq-4bit)
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Llava 1.6 Gptq 4bit Parameters and Internals

LLM NameLlava 1.6 Gptq 4bit
Repository 🤗https://huggingface.co/panoyo9829/llava-1.6-gptq-4bit 
Model Size7b
Required VRAM6 GB
Updated2026-05-26
Maintainerpanoyo9829
Model Typellava
Model Files  6.0 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlavaLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Llava 1.6 Gptq 4bit

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Llava 1.6 Gptq 8bit32K / 9.6 GB50
Video LLaVA 7B GPTQ 4bit V14K / 5.3 GB50
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 panoyo9829/llava-1.6-gptq-4bit.

Rank the Llava 1.6 Gptq 4bit 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  
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Multi-Language Support and Translation  

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