Model Card on HF 🤗: https://huggingface.co/vannynakamura/finetune_models_medicalAI
Finetune Models MedicalAI 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)
Finetune Models MedicalAI Parameters and Internals
| LLM Name | Finetune Models MedicalAI |
| Repository 🤗 | https://huggingface.co/vannynakamura/finetune_models_medicalAI |
| Required VRAM | 0.2 GB |
| Updated | 2025-02-22 |
| Maintainer | vannynakamura |
| Model Files | |
| Model Architecture | AutoModel |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|k_proj|o_proj|up_proj|q_proj|gate_proj|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Finetune Models MedicalAI
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Distil Longformer Base 4096 | 4K / 0.4 GB | 126 | 0 |
| Daedalus 1 | 1K / GB | 17 | 1 |
| Opengpt2 Pytorch Backward | 1K / 6 GB | 165 | 1 |
| Tiny Random Detr | 1K / 0.2 GB | 162 | 0 |
| Opengpt2 Pytorch Forward | 1K / 6 GB | 118 | 1 |
| Finsent Transformer | 0.5K / 0.4 GB | 6 | 1 |
| Bert Chinese L 12 H 768 A 12 | 0.5K / 0.4 GB | 150 | 1 |
| Simbert Chinese Base | 0.5K / 0.4 GB | 149 | 0 |
| Simbert Chinese Tiny | 0.5K / 0 GB | 59 | 0 |
| All MiniLM L12 V2 | 0.5K / GB | 2095 | 3 |
Rank the Finetune Models MedicalAI Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227