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SkyworkAI/Skywork resource

Skywork series models are pre-trained on 3.2TB of high-quality multilingual (mainly Chinese and English) and code data. We have open-sourced the model, training data, evaluation data, evaluation methods, etc. observed · 2026-08-28

github.com/SkyworkAI/Skywork · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 10
  • Release rhythm 35
  • Longevity 75

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1058
  • days_rel: n/a
  • days_push: 544
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1498 stars · 148 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The Skywork series of open-source large language models (13B Base, Chat, Math, and multimodal MM variants) pre-trained on 3.2TB of multilingual Chinese/English and code data, released with quantized versions for consumer GPUs. The project also open-sources the Skypile-150B Chinese web dataset along with evaluation data and methods.

Use cases

  • run a chinese-english llm locally on a consumer gpu
  • download a large pretraining dataset of chinese web text
  • use a 13b model fine-tuned for math word problems
  • chat with an open-source llm good at creative writing
  • do image question answering with an open multimodal model
  • evaluate open llms on gsm8k and cmath benchmarks

When to choose

  • you need strong bilingual Chinese/English base or chat models with commercial-use terms
  • you want reproducible training data and evaluation methodology alongside model weights
  • you need quantized 13B models that fit consumer-grade GPUs

When to avoid

  • you need the smallest possible model or a permissive license like Apache/MIT
  • you only want an inference server rather than model weights and datasets
  • you require cutting-edge frontier-scale performance beyond 13B-class models

Facets

dataset · maturity active

machine-learning llm-inference llm-training nlp large-language-models machine-learning data-science python cross-platform llm-weights model-release chinese-nlp multimodal open-dataset skypile quantization consumer-gpu natural-language-processing gpu linux

1 source

Member repositories

RepositoryRoleHealth v2
SkyworkAI/Skyworkmain32

For agents

markdown · JSON · MCP: product_card(name="SkyworkAI/Skywork")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem