csylabs/bge-reranker-v2-m3-int8-onnx
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csylabs · ООО ЛИИ
Open-weight Russian domain LLMs — education, sports, healthcare, law, regional languages.
ООО «Лаборатория инновационных инициатив» builds and releases open-weight domain-specialized large language models for Russian-language professional use cases. Repositories created — weights in active fine-tuning, public releases rolling out through Q2-Q3 2026.
Roadmap
| Model | Base | Domain | Status | Public release |
|---|---|---|---|---|
| ЛИИ-Спорт-Gemma-4-31B-Preview | Gemma 4 31B (Apache 2.0) | Russian sports — federation regulations, training methodology, biomechanics, anti-doping, sports medicine | 🟡 SFT in progress | June 15, 2026 |
| EduLLM-RU-27B v2 | Gemma 4 31B (Apache 2.0) | Russian K-12 + ВУЗ education (ФГОС-aligned) | 🟡 corpus prep | August 2026 |
| EduLLM-Chuvash-27B v2 | Gemma 4 31B (Apache 2.0) | Chuvash language education, bilingual RU↔CV | 🟡 corpus prep | August 2026 |
| ЛИИ-Школа-Gemma-4-31B | Gemma 4 31B (Apache 2.0) | Russian K-12 deep specialization (subject teaching, ОГЭ/ЕГЭ prep) | ⚪ planned | Sep-Oct 2026 |
| ЛИИ-ВУЗ-Gemma-4-31B | Gemma 4 31B (Apache 2.0) | Russian university-level academic register, methodology research | ⚪ planned | Q4 2026 |
| ЛИИ-Право-Gemma-4-31B | Gemma 4 31B (Apache 2.0) | Russian commercial law, contract analysis, procedural | ⚪ planned | Q4 2026 / Q1 2027 |
| ЛИИ-Мед-Gemma-4-26B-A4B | Gemma 4 26B-A4B (Apache 2.0) | Russian clinical text (administrative scope only, not diagnostic) | ⚪ planned | Q1 2027 |
| ЛИИ-Мобайл-Gemma-3n-4B | Gemma 3n-4B (Apache 2.0) | On-device consumer Russian use cases | ⚪ planned | Q4 2026 |
Why open-weight, why Russian-domain
- Federation deployment under 152-ФЗ. Clients in Russian sports / education / healthcare / law cannot use Anthropic / Google / OpenAI APIs from Russian IPs. Domain-tuned open-weight models hosted on Russian sovereign infrastructure (Selectel) are the only viable path for federation-level adoption.
- Domain SFT > general capability. Our benchmark research (ЛИИ-Спорт-Bench-RU, EduBench-RU) shows that base 30B open-weight models trail frontier closed-weight by 1.5-1.7 points on raw scores — but the gap is concentrated in domain register (ВУЗ, СШОР academic vocabulary) which closes 60-80% with proper domain SFT.
- Open methodology + open benchmarks. Every model ships with a public benchmark that anyone can re-run for ~$5-30 USD. See
csylabs-org/lii-sport-bench-ruandcsylabs-org/edubench-ruon GitHub.
Open benchmarks (already public)
- 🏆 ЛИИ-Спорт-Bench-RU — 655 questions × 35 sports, top-3 LLM-judge ensemble methodology, 7-model leaderboard
- 📊 EduBench-RU — Russian K-12 + university education, 50 prompts × 5-dimension rubric, 30+ models scored
- 📊 bench.csylabs.com — live multi-tab leaderboard portal (sport / education / clinical / legal — sport tab live; others rolling out Q3-Q4)
Methodology references
- 📰 Habr (RU) — Seven LLMs on the Russian sports domain (May 18, 2026)
- 📰 daniel.csylabs.com — build logs, federation-facing strategy posts (RU/EN)
- 📰 arXiv preprints — coming Q3 with full bench v1.0 + first SFT releases
Contact
- 🌐 csylabs.com/llm-integrator — company product page
- 📧 daniel@csylabs.com — partnership, federation integration, methodology critique
- 📱 @techaroundsports — Telegram channel (RU)
- 🐙 github.com/csylabs-org — code + benchmarks + open data
ООО «ЛИИ» (Лаборатория инновационных инициатив) · ИНН 2100031165 · Чебоксары, Чувашская Республика, Российская Федерация · РКН оператор ПДн рег. № 52-26-257975
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