Tool open source e modelli open-weight, abbinati al dispositivo.
selbsai viene configurata attorno a limiti di memoria, termica e latenza. Per questo il configuratore ragiona per pacchetti di lavoro e fit modello/runtime, non per un unico nome marketing. Lo stack combina software open source classico con famiglie di modelli aperti e adatta il deployment al dispositivo, alle lingue, al workload e al profilo di licenza.
Personal chat + light knowledge
Curated local assistant stack for fast private drafting and Q&A
Fast local assistance for private chat, email drafting, small document Q&A and day-to-day offline copilots.
- RAM minima
- 16 GB
- Velocità target
- 15-40 t/s
Documents + retrieval + coding support
Curated local knowledge stack with retrieval, longer context and workflow tools
Balanced local reasoning for document-heavy work, private search, research, coding support and office assistants.
- RAM minima
- 32 GB
- Velocità target
- 12-30 t/s
High-memory local agent node
Curated high-memory stack for coding agents, orchestration and heavier secure workloads
High-memory local intelligence for coding agents, larger private knowledge bases, orchestration and heavier secure workloads.
- RAM minima
- 64 GB
- Velocità target
- 8-18 t/s
Famiglie rappresentative che osserviamo davvero.
Queste famiglie servono a calibrare gli attuali tier di selbsai. I modelli effettivamente spediti possono cambiare quando nuove release aperte dimostrano migliori risultati su benchmark indipendenti.
Llama 3.1 8B Instruct
Meta Llama · Meta
Our compact baseline for fast local assistants, offline drafting and lighter retrieval on personal desktop devices.
Ministral 3 14B Instruct
Mistral / Ministral · Mistral
A strong local step-up for multilingual work, long-context tasks and richer instruction-following on balanced desktop systems.
Gemma 4 E4B / 26B A4B
Google Gemma · Google DeepMind
A model family we track for responsive multimodal chat, coding assistants and agentic workflows because Gemma 4 combines long context, native function-calling support and multi-token prediction drafters.
Qwen3 30B A3B
Qwen · Qwen
One of the main higher-capability open families we watch for larger reasoning, coding and multilingual deployments on high-memory local devices.
Artificial Analysis
Independent model pages with direct comparisons across intelligence, speed, price, context window and methodology notes.
Hugging Face Open LLM Leaderboard
A widely used open-model benchmark hub for comparing community and lab releases across standard eval suites.
Arena Leaderboard
Useful for broad human-preference comparisons and keeping an eye on how major open releases stack up in live arena-style evaluation.
Cosa viene davvero installato
Non promettiamo che ogni unità Standard, Professional o Elite venga sempre spedita con lo stesso modello nominato. Un negozio serio di hardware AI locale deve scegliere lo stack open-weight giusto per il lavoro e aggiornare questa raccomandazione man mano che l’ecosistema migliora.
- Il tier determina la scala di modello fattibile, la base di memoria e l’inviluppo di latenza.
- I preset dei workflow determinano il tooling attorno al modello base: codice, revisione documentale, retrieval, operations o audit.
- La selezione finale dipende dal mix linguistico, dalla sensibilità dei dati, dai vincoli di licenza e dal fatto che la build privilegi velocità, profondità o multimodalità.
- Le posizioni nei benchmark cambiano nel tempo, quindi questa pagina rimanda a fonti vive di terze parti invece di fissare affermazioni di marketing destinate a invecchiare.
Hugging Face scale is useful only after filtering.
The value for customers is not simply that open models exist. The value is that selbsai turns a fast-moving model ecosystem into a controlled local setup with documented choices, workload fit, and a clear update channel.
Source reputation
Publisher history, release notes, model-card quality, community usage, and maintenance signals are reviewed before a model is treated as a provisioning candidate.
License and usage fit
The configurator now captures whether the customer wants permissive-only, commercial-ready, or restricted-model avoidance before final model selection.
Safe format preference
Where supported, selbsai prefers formats and runtimes with clearer supply-chain posture, including Safetensors, GGUF, MLX packages, and established local runtimes.
Hardware match
The selected model/runtime stack is checked against RAM, VRAM, thermal budget, storage, context length, and the customer's target workloads.
What the customer should know about the installed stack.
- Model family, exact source repository, publisher, model-card link, and release reference.
- Runtime path, file format, quantization level, checksum or verification reference where available.
- License posture, intended use, known limitations, language fit, and benchmark references.
- Selected update policy: stable, balanced, or fast track.
OCR and document extraction
For invoice, receipt and document-heavy presets we pair the language model with open OCR and document-understanding tooling rather than relying on the base LLM alone.
Retrieval and reranking
Search-heavy presets use additional embedding and reranking components so large local indexes stay usable at real-world scale.
Workload preimpostati
Software coding
Local help for private repositories.
Explain code, draft tests, review snippets, write scripts, and search repository notes without sending proprietary source to cloud tools.
- Repo-aware Q&A
- Test and script drafts
- Error explanation
Documents and writing
Draft, rewrite, summarize, extract.
Create letters, policies, proposals, memos, summaries, and structured extracts from files that should stay inside your office.
- PDF & DOCX ingestion
- Memo and report drafts
- Tables and summaries
Email and personal assistant
Inbox work without inbox exposure.
Draft replies, sort messages, extract tasks, prepare agendas, and turn notes into follow-ups from approved local exports.
- Reply drafts
- Action extraction
- Meeting follow-ups
Research desk
Turns reading piles into briefings.
Compare sources, summarize PDFs, answer questions with citations, and prepare decision notes from local research folders.
- Citation-aware Q&A
- Long-context search
- Briefing notes
Document review
Find clauses, risks, gaps, and dates.
Review contracts, policies, case files, leases, and due-diligence packs for obligations, inconsistencies, and missing attachments.
- Clause search
- Obligation extraction
- Risk and gap lists
Sales assistant
Prepare better conversations faster.
Draft outreach, summarize accounts, prepare call notes, handle objections, and build proposals from approved sales material.
- Proposal drafts
- Call preparation
- CRM-style summaries
Compliance management
Policies and evidence, searchable locally.
Answer audit questions, compare obligations, identify missing evidence, and prepare control summaries from internal policy folders.
- Policy Q&A
- Evidence checklists
- Audit response drafts
Warehouse management
Operations support from local records.
Search SOPs, summarize shift notes, prepare supplier messages, and answer operational questions from warehouse documentation.
- SOP search
- Shift note summaries
- Supplier message drafts
Inventory management
Stock lists, reorder issues, and reports.
Review stock exports, flag reorder risks, summarize item movements, and prepare plain-language inventory reports.
- CSV and table review
- Reorder flags
- Inventory summaries
Company knowledge base
Ask your manuals, folders, and notes.
Build a local question-answer layer over manuals, procedures, project folders, email exports, and internal documentation.
- Local vector index
- Folder Q&A
- Source-grounded answers