Autotrain compatible Base model:facebook/opt-350m Base model:finetune:facebook/o... Endpoints compatible Generated from trainer Opt Pytorch Region:us
Address Detection Model 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)
Address Detection Model Parameters and Internals
| LLM Name | Address Detection Model |
| Repository 🤗 | https://huggingface.co/piazzola/address-detection-model |
| Base Model(s) | |
| Model Size | 350m |
| Required VRAM | 1.3 GB |
| Updated | 2024-09-16 |
| Maintainer | piazzola |
| Model Type | opt |
| Model Files | |
| Model Architecture | OPTForCausalLM |
| License | cc-by-nc-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 50272 |
| Torch Data Type | float32 |
| Activation Function | relu |
| Errors | replace |
Best Alternatives to Address Detection Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Opt Mini Dataset 0 | 2K / 0.7 GB | 5 | 0 |
| Facebook Opt 350M SFT Korz14 | 2K / 0.7 GB | 5 | 0 |
| Temp Model Sft | 2K / 1.3 GB | 5 | 0 |
| Gpt350 Chat S V0 1 | 2K / 0.7 GB | 10 | 0 |
| Gpt350 Chat S V0 | 2K / 0.7 GB | 6 | 0 |
| Dadjokes Tuned Opt | 2K / 1.3 GB | 4 | 2 |
| Rockyalquimista888 | 2K / 1.3 GB | 7 | 0 |
| Remedycure | 2K / 1.3 GB | 7 | 0 |
| Sunday | 2K / 1.3 GB | 7 | 0 |
| Aira OPT 350M | 2K / 0 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than piazzola/address-detection-model .
Rank the Address Detection Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803