Llava Next Vicuna V1.5 7B S2 by lmms-lab

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  Autotrain compatible   Endpoints compatible   Llava llama   Region:us   Safetensors   Sharded   Tensorflow

Llava Next Vicuna V1.5 7B S2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Next Vicuna V1.5 7B S2 (lmms-lab/llava-next-vicuna-v1.5-7b-s2)
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Llava Next Vicuna V1.5 7B S2 Parameters and Internals

LLM NameLlava Next Vicuna V1.5 7B S2
Repository ๐Ÿค—https://huggingface.co/lmms-lab/llava-next-vicuna-v1.5-7b-s2 
Model Size7b
Required VRAM14.2 GB
Updated2025-09-23
Maintainerlmms-lab
Model Typellava_llama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.3 GB: 3-of-3   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lmms-lab/llava-next-vicuna-v1.5-7b-s2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124