Model Card on HF 🤗: https://huggingface.co/BAAI/bunny-pretrain-phi-2-siglip
Bunny Pretrain Phi 2 Siglip Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Bunny Pretrain Phi 2 Siglip Parameters and Internals
| Model Type |
| ||||||
| Training Details |
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| LLM Name | Bunny Pretrain Phi 2 Siglip |
| Repository 🤗 | https://huggingface.co/BAAI/bunny-pretrain-phi-2-siglip |
| Required VRAM | 0 GB |
| Updated | 2025-09-23 |
| Maintainer | BAAI |
| Model Type | bunny-phi |
| Model Files | |
| Model Architecture | PhiForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.36.2 |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
Best Alternatives to Bunny Pretrain Phi 2 Siglip
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi1.5 Quantized 2 | 2K / GB | 5 | 0 |
| Merlin1.4 | 2K / 5.6 GB | 5 | 0 |
| Merlin1.2 | 2K / 5.6 GB | 5 | 0 |
| Merlin1.5 | 2K / 5.6 GB | 5 | 0 |
| Merlin1.3 | 2K / 5.6 GB | 5 | 0 |
| Tinyllama Quant | 2K / 0.8 GB | 10 | 1 |
| Phi1.5 Update 4 | 2K / GB | 6 | 0 |
| Phi 2 Fp8 | 2K / 3.3 GB | 89 | 0 |
| Phi 2 Fp8 | 2K / 3.3 GB | 5 | 0 |
| Phi 2 Int8 Ov | 2K / 0 GB | 24 | 0 |
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124