Model Card on HF 🤗: https://huggingface.co/alibidaran/Gemma2_Virtual_doctor
Gemma2 Virtual Doctor 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)
Gemma2 Virtual Doctor Parameters and Internals
| Model Type |
| ||||||
| Use Cases |
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| LLM Name | Gemma2 Virtual Doctor |
| Repository 🤗 | https://huggingface.co/alibidaran/Gemma2_Virtual_doctor |
| Model Size | 2.5b |
| Required VRAM | 5 GB |
| Updated | 2025-10-05 |
| Maintainer | alibidaran |
| Model Type | gemma |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.1 |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|down_proj|v_proj|q_proj|up_proj|o_proj|k_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0 |
| R Param | 64 |
| Torch Data Type | float16 |
Rank the Gemma2 Virtual Doctor Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124