APT3 500M Base Benchmarks
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)
APT3 500M Base Parameters and Internals
| LLM Name | APT3 500M Base |
| Repository 🤗 | https://huggingface.co/Azurro/APT3-500M-Base |
| Model Size | 500m |
| Required VRAM | 1.9 GB |
| Updated | 2024-10-04 |
| Maintainer | Azurro |
| Model Type | llama |
| Model Files | |
| Supported Languages | pl |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.35.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 31980 |
| Torch Data Type | float32 |
Best Alternatives to APT3 500M Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| H2o Danube3 500M Chat | 8K / 1 GB | 1836 | 28 |
| H2o Danube3 500M Base | 8K / 1 GB | 1226 | 25 |
| ...ama 1.1B Textsql 500B 16layers | 2K / 2.2 GB | 0 | 0 |
| TIPO 500M | 2K / 1 GB | 1693 | 31 |
Note: green Score (e.g. "73.2") means that the model is better than Azurro/APT3-500M-Base .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803