Model Card on HF 🤗: https://huggingface.co/WilAI/bloom-560m-lora-tagger-test
Bloom 560M Lora Tagger Test 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)
Bloom 560M Lora Tagger Test Parameters and Internals
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| LLM Name | Bloom 560M Lora Tagger Test |
| Repository 🤗 | https://huggingface.co/WilAI/bloom-560m-lora-tagger-test |
| Model Size | 560m |
| Required VRAM | 0 GB |
| Updated | 2025-02-22 |
| Maintainer | WilAI |
| Model Files | |
| Model Architecture | AutoModel |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | query_key_value |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Bloom 560M Lora Tagger Test
Best Alternatives |
Context / RAM |
Downloads |
Likes |
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| Aiden T5 | 0K / 0 GB | 2037 | 15 |
Rank the Bloom 560M Lora Tagger Test Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227