File size: 2,886 Bytes
db60b0f 52b2a9e db60b0f f2de2ca bed9a59 f2de2ca db60b0f 52b2a9e |
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 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
---
base_model:
- sethuiyer/Medichat-Llama3-8B
- mlabonne/ChimeraLlama-3-8B-v3
- johnsnowlabs/JSL-MedLlama-3-8B-v2.0
library_name: transformers
tags:
- mergekit
- merge
license: llama3
---
# medLlama-3-8B_DARE
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mlabonne/ChimeraLlama-3-8B-v3](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3) as a base.
### Models Merged
The following models were included in the merge:
* [sethuiyer/Medichat-Llama3-8B](https://huggingface.co/sethuiyer/Medichat-Llama3-8B)
* [johnsnowlabs/JSL-MedLlama-3-8B-v2.0](https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-8B-v2.0)
### Evaluation
- multimedq (0 shot) </br>
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|-------------------------------|-------|------|-----:|--------|-----:|---|-----:|
| - medmcqa |Yaml |none | 0|acc |0.5728|± |0.0076|
| | |none | 0|acc_norm|0.5728|± |0.0076|
| - medqa_4options |Yaml |none | 0|acc |0.5923|± |0.0138|
| | |none | 0|acc_norm|0.5923|± |0.0138|
| - anatomy (mmlu) | 0|none | 0|acc |0.7111|± |0.0392|
| - clinical_knowledge (mmlu) | 0|none | 0|acc |0.7547|± |0.0265|
| - college_biology (mmlu) | 0|none | 0|acc |0.7917|± |0.0340|
| - college_medicine (mmlu) | 0|none | 0|acc |0.6647|± |0.0360|
| - medical_genetics (mmlu) | 0|none | 0|acc |0.8200|± |0.0386|
| - professional_medicine (mmlu)| 0|none | 0|acc |0.7426|± |0.0266|
|stem |N/A |none | 0|acc_norm|0.5773|± |0.0067|
| | |none | 0|acc |0.6145|± |0.0057|
| - pubmedqa | 1|none | 0|acc |0.7400|± |0.0196|
|Groups|Version|Filter|n-shot| Metric |Value | |Stderr|
|------|-------|------|-----:|--------|-----:|---|-----:|
|stem |N/A |none | 0|acc_norm|0.5773|± |0.0067|
| | |none | 0|acc |0.6145|± |0.0057|
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mlabonne/ChimeraLlama-3-8B-v3
# No parameters necessary for base model
- model: sethuiyer/Medichat-Llama3-8B
parameters:
density: 0.53
weight: 0.5
- model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0
parameters:
density: 0.53
weight: 0.5
merge_method: dare_ties
base_model: mlabonne/ChimeraLlama-3-8B-v3
parameters:
int8_mask: true
dtype: float16
``` |