Technology for emerging-market businesses and institutions.
Explore Deviceterra ↗LocalLens is Deviceterra's local AI decision tool. It filters proven models against your real hardware so businesses and institutions can adopt useful technology with less cost, risk and guesswork.
Deviceterra helps small businesses and institutions in emerging countries increase profit using technology today, and build for the global market tomorrow. LocalLens delivers one part of that mission: practical, private and affordable AI adoption.
Define the job first. LocalLens turns it into a small, testable and safer first deployment.
Begin with 10 approved documents and five questions with known answers.
Keep the first setup single-user and record the exact model, runtime and settings.
No hardware data leaves this page until you choose to request help.
It fits our memory rule, but performance must be confirmed on your device. This is a compatibility decision - not a speed guarantee.
Not a mirror of Hugging Face. A shortlist people can actually use.
Alibaba Cloud · 8B
A widely used hybrid reasoning family with tool support and multilingual strength.
DeepSeek · 8B
Distilled reasoning variants for step-by-step analysis and mathematics.
Meta · 8B
A broadly supported general model with a mature ecosystem and tool use.
DeepSeek · 7B
Distilled reasoning variants for step-by-step analysis and mathematics.
Alibaba Cloud · 7B
Code-specific models for generation, fixing, explanation and code reasoning.
Mistral AI · 7B
A long-standing compact instruction model with a permissive commercial license.
Google · E4B
A stronger efficient multimodal option for laptops and edge devices.
Google · 4B
Mature multimodal variants for question answering, summarization and image understanding.
Meta · 3B
Mature small models for summarization, rewriting and personal information tasks.
Alibaba Cloud · 4B
A widely used hybrid reasoning family with tool support and multilingual strength.
Microsoft · 3.8B
Compact multilingual reasoning and mathematics with function calling.
Google · E2B
Designed for efficient execution on everyday and edge devices.
Google · 12B
Mature multimodal variants for question answering, summarization and image understanding.
Meta · 11B
Image reasoning, captioning and visual question answering.
Alibaba Cloud · 3B
Code-specific models for generation, fixing, explanation and code reasoning.
Alibaba Cloud · 14B
A widely used hybrid reasoning family with tool support and multilingual strength.
DeepSeek · 14B
Distilled reasoning variants for step-by-step analysis and mathematics.
Alibaba Cloud · 14B
Code-specific models for generation, fixing, explanation and code reasoning.
Meta · 1B
Mature small models for summarization, rewriting and personal information tasks.
Google · 1B
The text-only compact Gemma 3 variant for lightweight language tasks.
DeepSeek · 1.5B
Distilled reasoning variants for step-by-step analysis and mathematics.
Alibaba Cloud · 1.5B
Code-specific models for generation, fixing, explanation and code reasoning.
OpenAI · 20B
Open-weight reasoning and agentic model for capable local systems.
Mistral AI · 24B
Higher-quality instruction following, vision and robust function calling.
Google · 27B
Mature multimodal variants for question answering, summarization and image understanding.
Alibaba Cloud · 30B-A3B
A widely used hybrid reasoning family with tool support and multilingual strength.
DeepSeek · 32B
Distilled reasoning variants for step-by-step analysis and mathematics.
Alibaba Cloud · 32B
Code-specific models for generation, fixing, explanation and code reasoning.
Launch pricing for worldwide customers. Pro access is fulfilled manually until automated billing is connected, so no payment is taken on this page today.
Reliable model discovery
For people running local AI seriously
Private AI that performs a business job
The model is only one component. Deviceterra installs the runtime, secures the data path, connects private knowledge and validates the workflow.
We first confirm that your hardware and use case are suitable. If local AI is the wrong answer, we say so before proposing a deployment.
Complete, evidence-first guides live here on LocalLens. Each one turns a technical decision into a practical next step.
Understand privacy, offline use, hardware requirements and where cloud AI still makes more sense.
Read complete guide →HARDWARE · 10 MINLearn why a model file fitting on disk does not automatically mean it will run well in memory.
Read complete guide →SETUP · 12 MINChoose the right local AI runtime for beginners, developers and business deployments.
Read complete guide →MODELS · 11 MINA practical family-level comparison for coding, reasoning, writing, vision and general work.
Read complete guide →BUSINESS · 10 MINPlan a private document assistant without handing sensitive files to an unknown cloud service.
Read complete guide →SAFETY · 9 MINTest output quality, speed and workflow fit before trusting a local model with important work.
Read complete guide →LocalLens owns the full guides and internal search journey. Relevant articles link to Deviceterra for the wider technology and deployment perspective.
A model passes only when system RAM exceeds the Ollama file size with conservative runtime headroom. Speed still requires testing.
If GPU memory is unknown, the engine never claims acceleration. CPU fallback may be slow but remains clearly labelled.
Every command maps to an Ollama library tag and every profile links back to its official listing.
When nothing satisfies the safety rule, LocalLens returns no recommendation rather than inventing one.
Published maximum context is displayed as a model specification, not a promise that full context fits the minimum RAM floor.
Medical, legal, financial and operational deployments require task-specific evaluation before production use.