# Mistral Instruct MoE experimental

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

**This is an experimental model and has nothing to do with Mixtral. Mixtral is not a merge of models per se, but a transformer with MoE layers learned during training**

This uses a random gate, so I expect not great results. We'll see!

## Merge Details

### Merge Method

This model was merged using the MoE merge method.

### Models Merged

The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mistralai/Mistral-7B-Instruct-v0.2
gate_mode: random
dtype: bfloat16
experts:
  - source_model: mistralai/Mistral-7B-Instruct-v0.2
    positive_prompts: [""]
  - source_model: mistralai/Mistral-7B-Instruct-v0.1
    positive_prompts: [""]
```
{"license": "apache-2.0", "tags": ["mergekit", "merge", "moe"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "mistralai/Mistral-7B-Instruct-v0.1"]}
transformers safetensors mixtral text-generation mergekit merge moe conversational base_model:mistralai/Mistral-7B-Instruct-v0.2 base_model:mistralai/Mistral-7B-Instruct-v0.1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us