Model Card on HF 🤗: https://huggingface.co/Noodle-bg/LLM-Product-Description-Generator
LLM Product Description Generator 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)
LLM Product Description Generator Parameters and Internals
| LLM Name | LLM Product Description Generator |
| Repository 🤗 | https://huggingface.co/Noodle-bg/LLM-Product-Description-Generator |
| Model Size | 124.7m |
| Required VRAM | 0.5 GB |
| Updated | 2025-02-17 |
| Maintainer | Noodle-bg |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Model Max Length | 512 |
| Is Biased | none |
| Tokenizer Class | RobertaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | lm_head.decoder|roberta.encoder.layer.*.attention.self.key|roberta.encoder.layer.*.attention.output.dense|roberta.encoder.layer.*.intermediate.dense|roberta.encoder.layer.*.attention.self.query|roberta.encoder.layer.*.attention.self.value|lm_head.dense|roberta.encoder.layer.*.output.dense |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
| Errors | replace |
Rank the LLM Product Description Generator Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227