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MODEL Listed

AliceAI-Foundation-80B-A3B-Base

AliceAI-Foundation-80B-A3B-Base is a high-parameter foundation model designed for robust text generation tasks. Built on an 80B architecture, it leverages a Mixture-of-Experts (MoE) approach, specifically utilizing 3B active parameters per token, which offers a strategic balance between computational efficiency and deep reasoning capabilities. For developers, this means you can achieve high-quality outputs without the massive inference overhead typically associated with dense 80B models. It is particularly suited for complex instruction following, creative writing, and structured data generation. Released under the Apache-2.0 license, it provides the legal flexibility required for commercial integration and fine-tuning. Whether you are building RAG pipelines or specialized agents, this model serves as a versatile backbone that competes well in the mid-to-large scale parameter class by optimizing the throughput-to-intelligence ratio.

yandextext generation
01 / MODEL CARD

Model card

AliceAI-Foundation-80B-A3B-Base is a high-parameter foundation model designed for robust text generation tasks. Built on an 80B architecture, it leverages a Mixture-of-Experts (MoE) approach, specifically utilizing 3B active parameters per token, which offers a strategic balance between computational efficiency and deep reasoning capabilities. For developers, this means you can achieve high-quality outputs without the massive inference overhead typically associated with dense 80B models. It is particularly suited for complex instruction following, creative writing, and structured data generation. Released under the Apache-2.0 license, it provides the legal flexibility required for commercial integration and fine-tuning. Whether you are building RAG pipelines or specialized agents, this model serves as a versatile backbone that competes well in the mid-to-large scale parameter class by optimizing the throughput-to-intelligence ratio.

Model typetext generation
Provideryandex
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/yandex/AliceAI-Foundation-80B-A3B-Base
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: yandex/AliceAI-Foundation-80B-A3B-Base
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model yandex/AliceAI-Foundation-80B-A3B-Base
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model yandex/AliceAI-Foundation-80B-A3B-Base README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('yandex/AliceAI-Foundation-80B-A3B-Base')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/yandex/AliceAI-Foundation-80B-A3B-Base.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/yandex/AliceAI-Foundation-80B-A3B-Base.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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