Aanaphi2 V0.1 Benchmarks
ARC: 63.91-33.6%
HellaSwag: 77.97-18.2%
MMLU: 57.73-33.3%
TruthfulQA: 51.56-12.6%
WinoGrande: 73.64-15.8%
GSM8K: 54.89-40.3%
nn.n% — How the model compares to the GPT-4.
Aanaphi2 V0.1 Parameters and Internals
| LLM Name | Aanaphi2 V0.1 |
| Repository | Open on 🤗 |
| Model Size | 2.8b |
| Required VRAM | 5.6 GB |
| Updated | 2024-07-26 |
| Maintainer | mobiuslabsgmbh |
| Model Type | phi |
| Model Files | |
| Model Architecture | PhiForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | CodeGenTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
Best Alternatives to Aanaphi2 V0.1
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| MFANN3bv0.13.10 | 0.3 | 32K / 5.6 GB | 1158 | 0 |
| MFANN3bv0.11 | 0.3 | 32K / 11.1 GB | 247 | 0 |
| MFANN3bv0.10.10 | 0.3 | 32K / 5.6 GB | 242 | 0 |
| MFANN3bv0.17.11 | 0.3 | 32K / 11.1 GB | 5 | 0 |
| MFANN3bv0.17 | 0.3 | 32K / 11.1 GB | 14 | 0 |
| MFANN3bv0.16.11 | 0.3 | 32K / 11.1 GB | 14 | 0 |
| MFANN3bv0.16 | 0.3 | 32K / 11.1 GB | 15 | 0 |
| MFANN3bv0.15 | 0.2 | 32K / 11.1 GB | 13 | 0 |
| MFANN3bv0.13 | 0.2 | 32K / 11.1 GB | 17 | 0 |
| MFANN3bv0.12.10 | 0.2 | 32K / 5.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mobiuslabsgmbh/aanaphi2-v0.1 .
Rank the Aanaphi2 V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501