Pygmalion 2.7B Benchmarks
ARC: 32.76 vs 96.7 (so35)-66.1%
HellaSwag: 54.13 vs 95.3 (gpt4)-43.2%
MMLU: 23.28 vs 88.3 (so35)-73.6%
TruthfulQA: 37.17 vs 59 (gpt4)-37%
WinoGrande: 56.51 vs 87.5 (gpt4)-35.4%
LLME Score: 0.14726
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)
Pygmalion 2.7B Parameters and Internals
| LLM Name | Pygmalion 2.7B |
| Repository 🤗 | https://huggingface.co/PygmalionAI/pygmalion-2.7b |
| Model Size | 2.7b |
| Required VRAM | 5.4 GB |
| Updated | 2024-09-07 |
| Maintainer | PygmalionAI |
| Model Type | gpt_neo |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPTNeoForCausalLM |
| License | creativeml-openrail-m |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.26.0.dev0 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to Pygmalion 2.7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ChildModel 02 | 2K / 5.3 GB | 5 | 0 |
| PRIME2 Openai | 2K / 6.6 GB | 4 | 1 |
| GPT Neo 2.7B Lama | 2K / 10.6 GB | 5 | 0 |
| EleutherAI GPT Neo 2.7B 4bits | 2K / 1.7 GB | 11 | 0 |
| GPT Neo 2.7B | 2K / 10.7 GB | 76608 | 414 |
| ... Style Transfer Using Examples | 2K / 5.4 GB | 5 | 1 |
| Pygmalion 2.7B | 2K / 0 GB | 5 | 1 |
| GPT Neo 2.7B Horni | 2K / 6.6 GB | 78 | 0 |
| GPT Neo 2.7B Shinen | 2K / 6.6 GB | 60 | 0 |
| GPT Neo 2.7B Horni LN | 2K / 6.6 GB | 24 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than PygmalionAI/pygmalion-2.7b .
Rank the Pygmalion 2.7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803