Phigments12 Benchmarks
ARC: 62.63 vs 96.7 (so35)-35.2%
HellaSwag: 77.1 vs 95.3 (gpt4)-19.1%
MMLU: 58.43 vs 88.3 (so35)-33.8%
TruthfulQA: 51.71 vs 59 (gpt4)-12.4%
WinoGrande: 74.66 vs 87.5 (gpt4)-14.7%
GSM8K: 61.33 vs 96.4 (so35)-36.4%
LLME Score: 0.22618
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)
Phigments12 Parameters and Internals
| LLM Name | Phigments12 |
| Repository 🤗 | https://huggingface.co/liminerity/Phigments12 |
| Merged Model | Yes |
| Model Size | 2.8b |
| Required VRAM | 5.6 GB |
| Updated | 2024-09-07 |
| Maintainer | liminerity |
| Model Type | phi |
| Model Files | |
| Model Architecture | PhiForCausalLM |
| License | apache-2.0 |
| 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 Phigments12
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MFANN3bv0.19.12 | 32K / 5.6 GB | 453 | 0 |
| MFANN3bv0.19 | 32K / 11.1 GB | 26 | 0 |
| MFANN3bv0.18 | 32K / 11.1 GB | 13 | 0 |
| MFANN3bv0.15 | 32K / 11.1 GB | 24 | 0 |
| MFANN3bv0.19.11 | 32K / 11.1 GB | 7 | 0 |
| MFANN3bv0.18.11 | 32K / 11.1 GB | 6 | 0 |
| MFANN3bv0.11 | 32K / 11.1 GB | 6 | 0 |
| MFANN3bv0.10.10 | 32K / 5.6 GB | 5 | 0 |
| MFANN3bv0.17.11 | 32K / 11.1 GB | 5 | 0 |
| MFANN3bv0.17 | 32K / 11.1 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than liminerity/Phigments12 .
Rank the Phigments12 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803