ai-forever/ru-gpts
Russian GPT3 models. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2151
- days_rel: n/a
- days_push: 1360
- n_releases_24m: 0
Adoption not part of the score
2087 stars · 433 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A repository of Russian GPT-3 language models (ruGPT3XL/Large/Medium/Small and ruGPT2Large) with usage and fine-tuning examples. It provides pretrained autoregressive transformer models trained on large Russian-language corpora, runnable via Hugging Face Transformers and DeepSpeed.
Use cases
- generate russian text with gpt-3
- fine-tune a russian language model
- download pretrained russian gpt models
- run rugpt3 in colab
- russian text generation model for my app
When to choose
- you need a pretrained language model specifically for Russian text generation
- you want to fine-tune a GPT-style model on Russian data
- you need model sizes ranging from small to XL depending on compute
When to avoid
- you need multilingual or non-Russian language models
- you want actively developed LLMs with the latest architectures
- you lack GPU resources for large model inference
Facets
library · maturity maintenance
llm-inference llm-training machine-learning nlp large-language-models deep-learning machine-learning python gpt3 russian-language transformers text-generation huggingface deepspeed natural-language-processing gpu linux
1 source
- readme: https://github.com/ai-forever/ru-gpts · fetched 2026-08-28 · 4fae041d8131
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ai-forever/ru-gpts | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="ai-forever/ru-gpts")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem