---
license: apache-2.0
tags:
- snowflake
- arctic
- moe
---

## Model Details

Arctic is a dense-MoE Hybrid transformer architecture pre-trained from scratch by the Snowflake AI 
Research Team. We are releasing model checkpoints for both the base and instruct-tuned versions of 
Arctic under an Apache-2.0 license. This means you can use them freely in your own research, 
prototypes, and products. Please see our blog 
[Snowflake Arctic: The Best LLM for Enterprise AI — Efficiently Intelligent, Truly Open](https://www.snowflake.com/blog/arctic-open-and-efficient-foundation-language-models-snowflake) 
for more information on Arctic and links to other relevant resources such as our series of cookbooks 
covering topics around training your own custom MoE models, how to produce high-quality training data, 
and much more.

* [Arctic-Base](https://huggingface.co/Snowflake/snowflake-arctic-base/)
* [Acrtic-Instruct](https://huggingface.co/Snowflake/snowflake-arctic-instruct/)

For the latest details about Snowflake Arctic including tutorials, etc. please refer to our github repo: 
* https://github.com/Snowflake-Labs/snowflake-arctic

**Model developers** Snowflake AI Research Team

**License** Apache-2.0

**Input** Models input text only.

**Output** Models generate text and code only.

**Model Release Date** April, 24th 2024.

## Model Architecture

Arctic combines a 10B dense transformer model with a residual 128x3.66B MoE MLP resulting in 480B 
total and 17B active parameters chosen using a top-2 gating. For more details about Arctic's model
Architecture, training process, data, etc. [see our series of cookbooks](https://www.snowflake.com/en/data-cloud/arctic/cookbook/).


## Usage

As of 4/24/2024 we are actively working with the maintainers of `transformers` to include the Arctic 
model implementation. Until this support is released please follow these instructions to get the 
required dependencies for using Arctic:

```python
pip install git+https://github.com/Snowflake-Labs/transformers.git@arctic
```

Arctic leverages several features from [DeepSpeed](https://github.com/microsoft/DeepSpeed), you will need to 
install the latest version of DeepSpeed to get all of these required features:

```python
pip install "deepspeed>=0.14.2"
```

### Inference

The Arctic github page has several resources around running inference:

* Example with pure-HF: https://github.com/Snowflake-Labs/snowflake-arctic/blob/main/inference
* Tutorial using vLLM: https://github.com/Snowflake-Labs/snowflake-arctic/tree/main/inference/vllm