File size: 1,503 Bytes
e48cb17 f435b0c e48cb17 1000237 f435b0c e48cb17 aae6373 425003e 2c2739e a5262fd 42361a1 1832ab9 5aa4eab a49a4f8 3cba936 e48cb17 f435b0c e48cb17 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
---
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
``` |