Merged Model Autotrain compatible Base model:microsoft/phi-2 Base model:rhysjones/phi-2-ora... Custom code Endpoints compatible Microsoft/phi-2 Phi Region:us Rhysjones/phi-2-orange-v2 Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/avinash31d/phi-2-slerp
Phi 2 Slerp Benchmarks
ARC: 62.54 vs 96.7 (so35)-35.3%
HellaSwag: 76.04 vs 95.3 (gpt4)-20.2%
MMLU: 57.6 vs 88.3 (so35)-34.8%
TruthfulQA: 49.15 vs 59 (gpt4)-16.7%
WinoGrande: 75.85 vs 87.5 (gpt4)-13.3%
GSM8K: 61.26 vs 96.4 (so35)-36.5%
LLME Score: 0.16085
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)
Phi 2 Slerp Parameters and Internals
| LLM Name | Phi 2 Slerp |
| Repository 🤗 | https://huggingface.co/avinash31d/phi-2-slerp |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 2.8b |
| Required VRAM | 5.5 GB |
| Updated | 2025-09-23 |
| Maintainer | avinash31d |
| Model Type | phi |
| Model Files | |
| Model Architecture | PhiForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | bfloat16 |
Best Alternatives to Phi 2 Slerp
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MFANN3bv0.24 | 128K / 11.1 GB | 5 | 0 |
| MFANN3b | 128K / 11.1 GB | 5 | 0 |
| MFANN3bv1.4 | 128K / 11.1 GB | 6 | 0 |
| MFANN Phigments Slerp V3.2 | 128K / 5.6 GB | 5 | 0 |
| MFANN3bv1.3 | 128K / 11.1 GB | 6 | 0 |
| MFANN3bv0.23 | 128K / 11.1 GB | 5 | 0 |
| MFANN3bv1.1 | 128K / 11.1 GB | 5 | 0 |
| MFANN3bv1.5 | 128K / 11.1 GB | 5 | 0 |
| MFANN3b Rebase | 128K / 11.1 GB | 6 | 0 |
| MFANN Liminerity Slerp 4a | 128K / 5.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than avinash31d/phi-2-slerp .
Rank the Phi 2 Slerp Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124