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Lightweight intelligence for enterprise applications

A 10B-parameter open-weight reasoning model for resource-constrained environments.

Technical Overview

Comprehensive Model Details

Model Specifications

Context Length
32K native tokens, extendable to 131K
License
MIT
Input/Output Type
Text
Languages
50+ languages
With emphasis on major European languages:  German, French, Italian, Spanish, Portuguese.

Model Performance

Model Performance

Domyn Small
Llama-3.1
405B
Microsoft phi-4
OpenAI gpt-5
xAI
Grok 4
DeepSeek
V3.1
ARC Challenge
94.8
94.8
94.8
94.8
94.8
94.8
MMLU
94.8
94.8
94.8
94.8
94.8
94.8
GPQA Diamond
94.8
94.8
94.8
94.8
94.8
94.8
Humanity’s Last Exam
94.8
94.8
94.8
94.8
94.8
94.8
AIME 2024
94.8
94.8
94.8
94.8
94.8
94.8
AIME 2024
94.8
94.8
94.8
94.8
94.8
94.8

Intended Use

Real-time interactive applications
Operates at the sub-second latencies required by voice assistants, live chat support, real-time autocomplete, and collaborative editing tools.
Resource-constrained deployment
Runs in scenarios where response times, cost, and computational resources are real constraints — including on laptops and mobile devices.
Agentic reasoning
Delivers reasoning efficiency for AI agents that solve complex coding and mathematical problems and perform sequential, multi-step tasks.
Custom model development
User-adaptable to industry-specific knowledge, terminology, and workflows through open-weight fine-tuning under the MIT license.

Features

10B parameters
Compact open-weight architecture delivering capable reasoning in resource-constrained environments.
Togglable reasoning mode
"Thinking on/off" toggle enabling deep multi-step reasoning or fast, compact output depending on the task.
32K tokens context window, 131K extended
Supports long-document analysis and multi-turn agent workflows thanks to 32K tokens native context window, extensible to 131K tokens via YaRN.
Multilingual European AI
Optimized for English and major European languages, with support for 50+ languages and a 256K-token multilingual vocabulary.
Maximum token efficiency
Fewer tokens generated than comparable models for equivalent reasoning tasks, lowering inference cost and latency in production.
Agent-ready architecture
Optimized for coding, math, instruction following, and multi-step agentic workflows.
Open-weight sovereign release
Enabling full ownership, on-premise deployment, and domain-specific fine-tuning.

AI for high-stakes operations

Organizations across regulated industries use Domyn Large to reason over complex data, automate structured workflows, and support mission-critical decision-making.

Banking
Detect anomalies across transactions, filings, and market data to automate compliance and support scalable risk operations.
Insurance companies
Process claims, policies, and risk models to accelerate underwriting, detect fraud, and improve decision accuracy.
Utilities company
Analyze operational data, maintenance records, and regulations to optimize infrastructure performance and ensure reliable service delivery.
Aerospace manufacturer
Reason over engineering data and production workflows to improve manufacturing efficiency, quality control, and technical decision-making.
Revenue agency
Process tax filings, legislation, and audit records to identify inconsistencies, streamline investigations, and strengthen compliance efforts.
Education systems
Synthesize research, institutional data, and program performance to inform policy decisions and guide long-term strategic planning.
Army
Integrate mission plans, logistics, and operational intelligence to improve coordination, readiness, and situational awareness in complex environments.
Air Force
Analyze flight operations, maintenance logs, and intelligence to support mission planning, fleet readiness, and airspace management.
Energy
Analyze grid operations, maintenance data, and regulations to optimize performance, predict failures, and ensure reliable energy delivery.
Oil & Gas
Integrate geological data, production records, and operational intelligence to support exploration, optimize extraction, and manage complex operations.
Manufacturing
Reason over production data, engineering documentation, and supply chains to improve efficiency, quality control, and operational planning.
Agriculture
Analyze environmental data, crop intelligence, and supply chains to optimize resources, improve yield forecasting, and support resilient food systems.

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