Llava V1.5 13B S2 Lora by bfshi

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  Autotrain compatible   Endpoints compatible   Llava   Lora   Region:us

Llava V1.5 13B S2 Lora Benchmarks

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 S2 Lora (bfshi/llava-v1.5-13b-s2-lora)

Llava V1.5 13B S2 Lora Parameters and Internals

Model Type 
vision
Additional Notes 
Utilizes the S2-Wrapper approach to enable any vision model to perceive high-resolution images up to 1008x1008.
Training Details 
Methodology:
Uses LoRA to fine-tune the model.
LLM NameLlava V1.5 13B S2 Lora
Repository ๐Ÿค—https://huggingface.co/bfshi/llava-v1.5-13b-s2-lora 
Model Size13b
Required VRAM0.1 GB
Updated2025-02-22
Maintainerbfshi
Model Files  1.0 GB   0.1 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|q_proj|k_proj|down_proj|v_proj|gate_proj|o_proj
LoRA Alpha256
LoRA Dropout0.05
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than bfshi/llava-v1.5-13b-s2-lora.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227