Snowflake Arctic Instruct
Release in the Snowflake Arctic family · version Instruct
Maintained by Snowflake AI Research1
Arctic Instruct is the instruct-tuned checkpoint of Snowflake Arctic, a dense-MoE hybrid transformer (a 10B dense model plus a residual 128x3.66B MoE MLP) with 480B total and 17B active parameters, developed by the Snowflake AI Research Team. It takes text input and generates text and code.1
- Model hub: Model card (external site: huggingface.co)
- Repository: Snowflake-Labs/snowflake-arctic repository (external site: github.com)
- License: Apache License 2.0 (repository LICENSE) (external site: github.com)
- Release notes: Arctic announcement (external site: snowflake.com)
Availability and license
Overall availability
Downloadable from Hugging Face without gating; loading with Transformers requires trust_remote_code for the custom Arctic model code.1
Availability is separate from permission: read the license before using or redistributing.
Model-disclosure tier
The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| WeightsCan the general public download the model parameters for this release? | Public | Checkpoint published on Hugging Face under Apache-2.0 without gating.1 |
| Inference codeIs code for running the model published? | Public | Custom modeling code for Transformers is included with the checkpoint, and the GitHub repository provides Hugging Face and vLLM inference examples.14 |
| Training codeIs the code used to train the model published? | Unknown | The repository's training folder contains a LoRA fine-tuning script and a checkpoint converter; pretraining code for Arctic was not located.4 |
| Training-data informationPublic = the training data itself can be obtained. Partial = composition or sources are documented without full access. | Unknown | The model card refers readers to a cookbook series for data details; this review did not verify those pages.1 |
| Training recipeAre the training configuration and procedure documented in enough detail to follow? | Unknown | The announcement describes a cookbook series on pretraining, fine-tuning, data, and systems; this review did not verify whether it documents the full Arctic training configuration.5 |
| Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only. | Partial | Benchmark comparisons are published as figures in the repository README; evaluation code was not located.4 |
What it is useful for
Snowflake presents Arctic as aimed at enterprise tasks such as SQL generation, coding, and instruction following.4
Run and use notes
- The model card documents use with Transformers 4.39 or later (with trust_remote_code) and DeepSpeed 0.14.2 or later, and the GitHub repository includes a vLLM deployment tutorial.14
- Because of the model size, the model card recommends a single 8xH100 instance; its example loads the model in bfloat16 with DeepSpeed FP8 quantization (FP6 is also supported) and a max_memory setting of 150GiB per GPU.1
Organization context
Provenance and derivatives
Instruct-tuned version of Arctic, which the Snowflake AI Research Team pretrained from scratch; the model card releases it alongside the base checkpoint.1
- Derived from: Snowflake Arctic Base — Snowflake base checkpoint
Other releases in the Snowflake Arctic family
- Snowflake Arctic BaseModel-disclosure tier (USASI rubric v0.1): Open-weight
U.S. eligibility
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.