# IDEA-CCNL/Fengshenbang-LM

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

Repository: https://github.com/IDEA-CCNL/Fengshenbang-LM
Canonical: https://ross.abutalabs.com/products/fengshenbang-lm
Language: Python
License: Apache-2.0
License Family: permissive
Topics: chinese-nlp, pretrained-models, pytorch, distributed-training, transformers, aigc, multimodal
Last push: 2026-06-08T01:54:25+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 86, release rhythm 35, longevity 100
- inputs: {"age_days": 1770, "days_push": 87, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4123, forks 374 (observed 2026-08-28T04:08:36.002658+00:00)

## What it is
Fengshenbang-LM is an open-source suite of Chinese large language models and a PyTorch training framework from IDEA Research's CCNL lab, aiming to be infrastructure for Chinese AIGC and cognitive intelligence. It includes pretrained models (Erlangshen, Ziya, Toulun), multimodal and domain models, and tools for distributed pretraining and finetuning.

## Use cases
- download and finetune Chinese pretrained language models
- pretrain large language models with distributed training
- run Chinese text generation and AIGC tasks
- zero-shot text classification for Chinese NLP
- train multimodal models for Chinese named entity recognition
- generate Chinese images with a Chinese stable diffusion model

## When to choose
- you need strong Chinese-language pretrained models or Chinese AIGC capabilities
- you want an open Apache-2.0 model suite with PyTorch and HuggingFace integration
- you need distributed pretraining/finetuning tooling for Chinese LLMs

## When to avoid
- your work is purely English-centric with no Chinese NLP needs
- you only want inference serving rather than model training and research
- you need a lightweight plug-and-play library without GPU resources

## Facets
- artifact type: library
- maturity: active
- function: llm-training, llm-inference, machine-learning, nlp, transformers, stable-diffusion
- domain: large-language-models, machine-learning, deep-learning, artificial-intelligence
- platform: python, windows
- tags: chinese-nlp, pretrained-models, distributed-training, aigc, multimodal, pytorch, huggingface, natural-language-processing, linux, macos, gpu

## Member repositories
- IDEA-CCNL/Fengshenbang-LM (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:36.002658+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:23:05.324615+00:00, confidence not recorded.
  - readme: https://github.com/IDEA-CCNL/Fengshenbang-LM (fetched 2026-08-28T04:08:36.002658+00:00, sha 2c6b370757d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.