Model release

Snowflake Arctic Instruct

Snowflake Arctic Instruct is an open-weight model release in the Snowflake Arctic family from Snowflake AI Research1, version Instruct, released Apr 24, 2024. Its weights can be downloaded by the public1 under the Apache License 2.01.

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)

Last reviewedSep 29, 2026Entry updated Sep 29, 2026Documented release Apr 24, 2024

Availability and license

Overall availability

Public

Downloadable from Hugging Face without gating; loading with Transformers requires trust_remote_code for the custom Arctic model code.1

Availability fact review: not separately recorded

Availability is separate from permission: read the license before using or redistributing.

Apache License 2.0 (external site: github.com)1
Applies to: Weights · SPDX Apache-2.0 · on the rubric’s OSI-approved software-license list · fact-level rights review not recorded
Plain-language guide to the Apache License 2.0
Apache License 2.0 (external site: github.com)2 4
Applies to: Code · SPDX Apache-2.0 · on the rubric’s OSI-approved software-license list · fact-level rights review not recorded
Plain-language guide to the Apache License 2.0

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.

weights: Unknown — no complete fact-level rights review
code: Unknown — no complete fact-level rights review
data: Unknown — no complete fact-level rights review
documentation: Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Model-disclosure tier

Computed from the checklist below using USASI rubric v0.2. An editorial category, not a certification.

Open-weight

The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.

How tiers are computed

Public materials checklist

Items for a model under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.

Public materials checklist for Snowflake Arctic Instruct
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.1 4
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 informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness.	Unknown	Not assessed.
Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable.	Unknown	Not assessed.
Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient.	Unknown	Not assessed.
Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above.	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

Documented facts only. No hardware or performance claims are made without a cited source and stated assumptions.

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.1 4
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

Snowflake

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 v0.2): Open-weight

Snowflake Arctic family overview

What this catalog does not know

Unknown means the sources reviewed for this record do not document it. It is not evidence that something does not exist.

Training code: unknown.
Training-data information: unknown.
Training-data access: unknown.
Complete training pipeline: unknown.
Legacy data assessment (v0.1): unknown.
Training recipe: unknown.

Have a primary source? How to report a correction.

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S. headquarters

Snowflake Arctic Instruct was developed by the Snowflake AI Research Team at Snowflake Inc., whose current Form 10-K lists its principal executive offices in Menlo Park, California.1 3

Assessed Sep 29, 2026

Sources

1.
Snowflake/snowflake-arctic-instruct model card (external site: huggingface.co)
Snowflake AI Research (Hugging Face) · Model card · published Apr 24, 2024 · accessed Sep 29, 2026
2.
LICENSE (Apache License 2.0), Snowflake-Labs/snowflake-arctic (external site: github.com)
Snowflake-Labs (GitHub) · License · accessed Sep 29, 2026
3.
Snowflake Inc. Form 10-K for the fiscal year ended January 31, 2026 (external site: sec.gov)
U.S. Securities and Exchange Commission (EDGAR) · Filing · published Mar 20, 2026 · accessed Sep 29, 2026
4.
Snowflake-Labs/snowflake-arctic (external site: github.com)
Snowflake-Labs (GitHub) · Repository · accessed Sep 29, 2026
5.
Snowflake Arctic: The Best LLM for Enterprise AI — Efficiently Intelligent, Truly Open (external site: snowflake.com)
Snowflake · Announcement · published Apr 24, 2024 · accessed Sep 29, 2026

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This listing is not an endorsement, a safety assessment, or a federal approval.

Cite this page

APA style

USASI. (2026, September 29). Snowflake Arctic Instruct. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/snowflake-arctic-instruct/

BibTeX

@misc{usasi_snowflake_arctic_instruct,
  author = {{USASI}},
  title = {Snowflake Arctic Instruct},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/snowflake-arctic-instruct/}},
  note = {United States of America Superintelligence. Last updated 2026-09-29}
}

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