base_model: | |
- Cognitive-Lab/LLama3-Gaja-Hindi-8B-v0.1 | |
- meta-llama/Meta-Llama-3-8B | |
- johnsnowlabs/JSL-MedLlama-3-8B-v2.0 | |
library_name: transformers | |
tags: | |
- mergekit | |
- merge | |
# merged_models | |
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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) as a base. | |
### Models Merged | |
The following models were included in the merge: | |
* [Cognitive-Lab/LLama3-Gaja-Hindi-8B-v0.1](https://huggingface.co/Cognitive-Lab/LLama3-Gaja-Hindi-8B-v0.1) | |
* [johnsnowlabs/JSL-MedLlama-3-8B-v2.0](https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-8B-v2.0) | |
### Configuration | |
The following YAML configuration was used to produce this model: | |
```yaml | |
base_model: meta-llama/Meta-Llama-3-8B | |
dtype: float16 | |
merge_method: della_linear | |
modules: | |
default: | |
slices: | |
- sources: | |
- layer_range: [0, 32] | |
model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0 | |
parameters: | |
density: 0.5 | |
weight: 0.5 | |
- layer_range: [0, 32] | |
model: Cognitive-Lab/LLama3-Gaja-Hindi-8B-v0.1 | |
parameters: | |
density: 0.5 | |
weight: 0.5 | |
- layer_range: [0, 32] | |
model: meta-llama/Meta-Llama-3-8B | |
parameters: | |
int8_mask: 1.0 | |
normalize: 0.0 | |
``` | |