models snowflake arctic base

snowflake-arctic-base

Overview

Model Overview

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 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.

• Inputs: Models input text only.
• Output: Models generate text and code only.
• 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.
• License: Apache-2.0.
• Model developers: Snowflake AI Research Team.

Training Data

Snowflake Arctic was pretrained on 3.5 trillion tokens of data from publicly available sources. The fine-tuning data includes publicly available datasets.

Evaluation Results

Metric	Value
MMLU	67.3
GSM8k	74.2
Spider	78.9
IFEval	52.4
Coding - HumanEval+ & MBPP+ -	64.3

Inference samples

Inference type	Python sample (Notebook)	CLI with YAML
Real time	text-generation-online-endpoint.ipynb	text-generation-online-endpoint.sh
Batch	text-generation-batch-endpoint.ipynb	coming soon

Sample Inputs and Outputs (for real-time inference)

Sample input

{
  "input_data": {
      "input_string": ["I believe the meaning of life is"],
      "parameters":{   
              "top_p": 0.9,
              "temperature": 0.6,
              "max_new_tokens": 96,
              "do_sample": true
      }
  }
}

Sample output

[
    {
        "0": "I believe the meaning of life is to learn to love.\\nI believe in a world of compassion, a world where love rules.\\nI believe in a world where people care for one another.\\nI believe in a world where people help each other.\\nI believe in a world where people are kind to each other.\\nI believe in a world where people are happy.\\nI believe in a world where people are peaceful.\\nI believe in a world where people are loving."
    }
]

Version: 1

Tags

Featured huggingface_model_id : Snowflake/snowflake-arctic-base license : apache2.0 disable-batch : true task : text-generation SharedComputeCapacityEnabled author : Snowflake inference_compute_allow_list : ['Standard_ND96isr_H100_v5'] inference_supported_envs : ['vllm']

View in Studio: https://ml.azure.com/registries/azureml/models/snowflake-arctic-base/version/1

License: apache2.0

Properties

SharedComputeCapacityEnabled: True

SHA: 76fa59362cd95eb633a4e419c24364c90674966c

inference-min-sku-spec: 96|12|1900|1024

inference-recommended-sku: Standard_ND96isr_H100_v5

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