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Bunny Pretrain Phi 2 Siglip by BAAI

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Bunny Pretrain Phi 2 Siglip is an open-source language model by BAAI. Features: LLM, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.12.

  Bunny-phi   Region:us
Model Card on HF 🤗: https://huggingface.co/BAAI/bunny-pretrain-phi-2-siglip 

Bunny Pretrain Phi 2 Siglip Benchmarks

LLME Score: 0.11933
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bunny Pretrain Phi 2 Siglip (BAAI/bunny-pretrain-phi-2-siglip)
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Bunny Pretrain Phi 2 Siglip Parameters and Internals

Model Type 
multimodal
Training Details 
Data Sources:
LAION-2M
Model Architecture:
Phi-2 as language model backbone and SigLIP as vision encoder
LLM NameBunny Pretrain Phi 2 Siglip
Repository 🤗https://huggingface.co/BAAI/bunny-pretrain-phi-2-siglip 
Required VRAM0 GB
Updated2025-12-30
MaintainerBAAI
Model Typebunny-phi
Model Files  0.0 GB
Model ArchitecturePhiForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Vocabulary Size51200
Torch Data Typefloat16

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Phi1.5 Quantized 22K /  GB50
Tinyllama Quant2K / 0.8 GB141
Phi1.5 Update 42K /  GB60
Phi 2 Fp82K / 3.3 GB890
Phi 2 Fp82K / 3.3 GB60
Phi 2 Int8 Ov2K / 0 GB220
Note: green Score (e.g. "73.2") means that the model is better than BAAI/bunny-pretrain-phi-2-siglip.

Rank the Bunny Pretrain Phi 2 Siglip Capabilities

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