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 files and versions
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We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.
yandex/AliceAI-Foundation-80B-A3B-BaseInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model yandex/AliceAI-Foundation-80B-A3B-BaseREADME.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 ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('yandex/AliceAI-Foundation-80B-A3B-Base')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/yandex/AliceAI-Foundation-80B-A3B-Base.gitFetch 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.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
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