---
base_model:
- meta-llama/Llama-2-7b-hf
- meta-llama/CodeLlama-7b-hf
library_name: transformers
tags:
- mergekit
- merge
license: llama2
---
# coma-7B-v0.1

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e6d37e02dee9bcb9d9fa18/pqU17tDiX2XyUXc_yA8b0.png)

CodeLlama + Llama = CoMa :)
This is an experiment to try merged models

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

Quantized version: [DevQuasar/coma-7B-v0.1-GGUF](https://huggingface.co/DevQuasar/coma-7B-v0.1-GGUF)
## Merge Details
### Merge Method

This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged
"Blast from the Past" :D
The following models were included in the merge:
* [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
* [meta-llama/CodeLlama-7b-hf](https://huggingface.co/meta-llama/CodeLlama-7b-hf)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: meta-llama/Llama-2-7b-hf
    parameters:
      weight: 1.0
  - model: meta-llama/CodeLlama-7b-hf
    parameters:
      weight: 0.5
merge_method: linear
dtype: float16

```