⚕️ Taiwan-inquiry
Collection
The models aim to simulate the verbal exchanges between doctors and patients within a hospital environment.
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6 items
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Updated
🔎Taiwan-inquiry_7B_v2.1.gguf
- Model creator: Joseph (Chen-Wei) Li
- Original model: Taiwan-inquiry_7B_2.1
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Taiwan-inquiry_7B_v2.1-Q4_K_M.gguf | Q4_K_M | 4 | 4.54 GB | medium, balanced quality - recommended |
| Taiwan-inquiry_7B_v2.1-Q5_K_M.gguf | Q5_K_M | 5 | 5.32 GB | large, very low quality loss - recommended |
| Taiwan-inquiry_7B_v2.1-Q6_K.gguf | Q6_K | 6 | 6.14 GB | very large, extremely low quality loss |
| Taiwan-inquiry_7B_v2.1-Q8_0.gguf | Q8_0 | 8 | 7.96 GB | very large, extremely low quality loss - not recommended |
| Taiwan-inquiry_7B_v2.1.gguf | No quantization | 16 or 32 | 15 GB | very large, no quality loss - not recommended |
Usage of the model
- The user can take on the role of a doctor, and the model can engage in conversation with you as if it were a patient.
- You can provide the model with a brief patient background in the system prompt, and the model will respond based on that prompt. (using my patient generator: colab)
- Directly asking the certain disease about the symptoms and the possible therapies.（Warning: It's not medical advice!)
Reference
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