Adapter Base model:adapter:google/flan... Base model:google/flan-t5-larg... Finetuned Generated from trainer Lora Peft Region:us Safetensors
Absa 10 Domains Large 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)
Absa 10 Domains Large Parameters and Internals
| LLM Name | Absa 10 Domains Large |
| Repository 🤗 | https://huggingface.co/SilvioLima/absa_10_domains_large |
| Base Model(s) | |
| Required VRAM | 0.1 GB |
| Updated | 2024-08-15 |
| Maintainer | SilvioLima |
| Model Files | |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Model Max Length | 512 |
| Is Biased | none |
| Tokenizer Class | T5Tokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v|q |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.01 |
| R Param | 16 |
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| Test | 0K / 0 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than SilvioLima/absa_10_domains_large .
Rank the Absa 10 Domains Large Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803