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Llava V1.5 13B 4GB 8bit by 4bit

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  8-bit   8bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Llava   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/4bit/llava-v1.5-13b-4GB-8bit 

Llava V1.5 13B 4GB 8bit Benchmarks

LLME Score: 0.13356
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava V1.5 13B 4GB 8bit (4bit/llava-v1.5-13b-4GB-8bit)

Llava V1.5 13B 4GB 8bit Parameters and Internals

LLM NameLlava V1.5 13B 4GB 8bit
Repository 🤗https://huggingface.co/4bit/llava-v1.5-13b-4GB-8bit 
Model Size13b
Required VRAM14.1 GB
Updated2025-03-14
Maintainer4bit
Model Typellava
Model Files  4.0 GB: 1-of-4   4.0 GB: 2-of-4   4.0 GB: 3-of-4   2.1 GB: 4-of-4
Quantization Type8bit
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than 4bit/llava-v1.5-13b-4GB-8bit.

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Release v20241227
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