Model Card on HF 🤗: https://huggingface.co/Aaron080108/Chinese-Poetry-Generation
Chinese Poetry Generation 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)
Chinese Poetry Generation Parameters and Internals
| LLM Name | Chinese Poetry Generation |
| Repository 🤗 | https://huggingface.co/Aaron080108/Chinese-Poetry-Generation |
| Required VRAM | 0 GB |
| Updated | 2024-08-06 |
| Maintainer | Aaron080108 |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|v_proj|gate_proj|q_proj|o_proj|k_proj|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 8 |
| Errors | replace |
Best Alternatives to Chinese Poetry Generation
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Tinyllama Cpt | 0K / 0.5 GB | 190 | 0 |
| Fine Tune Sentimental Llama | 0K / 0 GB | 14 | 0 |
| VLM2Vec LoRA | 0K / 0 GB | 154 | 7 |
| QuietStar Project | 0K / GB | 13 | 2 |
| Finetuned Llava Lora | 0K / 0.1 GB | 8 | 0 |
| Qwen7B Haiguitang | 0K / 15.3 GB | 15 | 0 |
| Alphace Email | 0K / 0.1 GB | 6 | 0 |
| Accel | 0K / 0 GB | 16 | 0 |
| Modelv3 | 0K / 13.5 GB | 9 | 0 |
| Partis Goodone | 0K / 16.1 GB | 12 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Aaron080108/Chinese-Poetry-Generation .
Rank the Chinese Poetry Generation Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227