Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-4 Conversational Dataset:pankajmathur/orca mini... Dataset:pankajmathur/orca mini... En Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_phi-4
Orca Mini Phi 4 Benchmarks
MMLU Pro: 47.28
GPQA: 16.55
MUSR: 18.25
BBH: 54.63
IFEval: 77.81 vs 88 (so35)-11.6%
MATH Lvl 5: 26.44
LLME Score: 0.42241
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)
Orca Mini Phi 4 Parameters and Internals
| LLM Name | Orca Mini Phi 4 |
| Repository 🤗 | https://huggingface.co/pankajmathur/orca_mini_phi-4 |
| Base Model(s) | |
| Model Size | 14.7b |
| Required VRAM | 29.4 GB |
| Updated | 2025-02-05 |
| Maintainer | pankajmathur |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|dummy_87|> |
| Vocabulary Size | 100352 |
| Torch Data Type | bfloat16 |
Best Alternatives to Orca Mini Phi 4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 4 | 16K / 29.4 GB | 22155 | 68 |
| Phi 4 Model Stock V4 | 16K / 29.5 GB | 245 | 7 |
| Phi 4 RR Shoup | 16K / 29.5 GB | 20 | 1 |
| Phi 4 O1 | 16K / 29.4 GB | 659 | 26 |
| Phi 4 Model Stock | 16K / 29.5 GB | 209 | 6 |
| Phi 4 QwQ | 16K / 29.4 GB | 1187 | 13 |
| Phi 4 RStock V0.1 | 16K / 29.5 GB | 14 | 0 |
| Phi 4 Stock Ex | 16K / 29.5 GB | 38 | 2 |
| Phi 4 Stock RP | 16K / 29.5 GB | 53 | 1 |
| Phi 4 Empathetic | 16K / 29.4 GB | 249 | 12 |
Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_phi-4 .
Rank the Orca Mini Phi 4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227