Model Card on HF 🤗: https://huggingface.co/amazingvince/yi-9b-booksum-2
Yi 9B Booksum 2 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)
Yi 9B Booksum 2 Parameters and Internals
| LLM Name | Yi 9B Booksum 2 |
| Repository 🤗 | https://huggingface.co/amazingvince/yi-9b-booksum-2 |
| Model Size | 9b |
| Required VRAM | 0.9 GB |
| Updated | 2025-02-05 |
| Maintainer | amazingvince |
| Model Files | |
| Model Architecture | Adapter |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|down_proj|gate_proj|o_proj|q_proj|k_proj|v_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0 |
| R Param | 64 |
Best Alternatives to Yi 9B Booksum 2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...emma9 On Korean Summary Events | 0K / 0.2 GB | 7 | 0 |
| Gemma 2 9B It Lora Yt Titles | 0K / 0.1 GB | 9 | 1 |
| Yi 9B Booksum | 0K / 0.2 GB | 0 | 1 |
| ...escribe Diffusion Bf16 Adapter | 0K / 0.1 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than amazingvince/yi-9b-booksum-2 .
Rank the Yi 9B Booksum 2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227