|
|
--- |
|
|
license: gemma |
|
|
tags: |
|
|
- medical |
|
|
- Gemma3 |
|
|
- mergekit |
|
|
- merge |
|
|
pipeline_tag: image-text-to-text |
|
|
library_name: transformers |
|
|
base_model: |
|
|
- google/medgemma-27b-it |
|
|
|
|
|
--- |
|
|
### About this model |
|
|
This was created purely as an attempt to turn MedGemma-27B into a thinking and reasoning model. |
|
|
I will share it with everyone, so I would appreciate your feedback. |
|
|
|
|
|
###Model Source |
|
|
1. Merged publicly available Gemma3 models with outstanding scientific reasoning. |
|
|
2. google/medgemma-27b-it |
|
|
|
|
|
###What the model can do |
|
|
1. Medical reasoning |
|
|
2. Simple scientific reasoning |
|
|
3. Simple coding and calculations |
|
|
4. Tool calls |
|
|
|
|
|
Please apply megdgmma thinking-systemprompts.txt when using. |
|
|
|
|
|
###Future plans |
|
|
1. I plan to continue improve this model, |
|
|
Please please support me. Bitcoin address : 34ZuzEUfuVfuEE8PiU1DabiwRzAxGw9JM4 |
|
|
2. I Uploded model Files. |
|
|
3. I adapted the LoRA for MedGemma-27B-it, |
|
|
which was released publicly,to megdgmma3-thinking, and found that |
|
|
the accuracy of reading medical images improved. |
|
|
Therefore, I uploaded the used LoRA (LoRA and Page URL), |
|
|
the LoRA-adapted main model, and its test output as a megdgmma3-thinking-DirectLoRA file. |
|
|
(This file is experimental and may cause performance degradation for non-medical performance.) |
|
|
|
|
|
```yaml |
|
|
models: |
|
|
- model: gemma3-thinking(Original blend,Non Uploaded) |
|
|
parameters: |
|
|
weight: 1.0 |
|
|
- model: google/medgemma-27b-it |
|
|
parameters: |
|
|
weight: 1.618033988749 |
|
|
merge_method: nuslerp |
|
|
tokenizer_source: google/medgemma-27b-it |
|
|
dtype: bfloat16 |
|
|
|
|
|
``` |