README.md

---
license: apache-2.0
---

# Mixtral-8x7B--v0.1: Model 7

## Model Description

This model is the 7th extracted standalone model from the [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1), using the [Mixtral Model Expert Extractor tool](https://github.com/MeNicefellow/Mixtral-Model-Expert-Extractor) I made. It is constructed by selecting the first expert from each Mixture of Experts (MoE) layer. The extraction of this model is experimental. It is expected to be worse than Mistral-7B.

## Model Architecture

The architecture of this model includes:
- Multi-head attention layers derived from the base Mixtral model.
- The first expert from each MoE layer, intended to provide a balanced approach to language understanding and generation tasks.
- Additional layers and components as required to ensure the model's functionality outside the MoE framework.


### Example

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "DrNicefellow/Mistral-3-from-Mixtral-8x7B-v0.1"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

text = "Today is a pleasant"
input_ids = tokenizer.encode(text, return_tensors='pt')
output = model.generate(input_ids)

print(tokenizer.decode(output[0], skip_special_tokens=True))
```

## License

This model is available under the Apache 2.0 License.


## Discord Server

Join our Discord server [here](https://discord.gg/xhcBDEM3).

## License

This model is open-sourced under the Apache 2.0 License. See the LICENSE file for more details.