---
base_model:
- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
- cyberagent/Llama-3.1-70B-Japanese-Instruct-2407
library_name: transformers
tags:
- mergekit
- merge

---
# llama-3.1-70B-nemotron-agent-ja-120B

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](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [nvidia/Llama-3.1-Nemotron-70B-Instruct-HF](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF)
* [cyberagent/Llama-3.1-70B-Japanese-Instruct-2407](https://huggingface.co/cyberagent/Llama-3.1-70B-Japanese-Instruct-2407)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: linear
parameters:
  weight: 1.0
slices:
- sources:
  - model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
    layer_range: [0, 16]
- sources:
  - model: cyberagent/Llama-3.1-70B-Japanese-Instruct-2407
    layer_range: [8, 24]
- sources:
  - model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
    layer_range: [17, 32]
- sources:
  - model: cyberagent/Llama-3.1-70B-Japanese-Instruct-2407
    layer_range: [25, 40]
- sources:
  - model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
    layer_range: [33, 48]
- sources:
  - model: cyberagent/Llama-3.1-70B-Japanese-Instruct-2407
    layer_range: [41, 56]
- sources:
  - model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
    layer_range: [49, 64]
- sources:
  - model: cyberagent/Llama-3.1-70B-Japanese-Instruct-2407
    layer_range: [57, 72]
- sources:
  - model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
    layer_range: [65, 80]
dtype: float16
tokenizer_source: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF

```