Raidone/almaaniraid-modelfiles

Almaaniraid Modelfiles

Italian-language Ollama Modelfiles for professional AI assistants — built on Qwen2 7B.

Description

These are Ollama Modelfiles that specialize the base qwen2:7b model into 15 professional AI assistants. Each Modelfile defines a SYSTEM prompt and inference parameters (temperature, top_p, context length) tuned for a specific domain.

All models respond in Italian by default.

Base Model

All Modelfiles use qwen2:7b as the base model:

ollama pull qwen2:7b

Usage

# 1. Pull the base model
ollama pull qwen2:7b

# 2. Create a specialized model from a Modelfile
ollama create Rai-ArchV1 -f Modelfile.architetto

# 3. Run it
ollama run Rai-ArchV1

Alternatively, download the Modelfile directly and run:

ollama create Rai-ArchV1 -f /path/to/Modelfile.architetto

Available Models

Model Name	Modelfile	Role	Description
Rai-AiV1	Modelfile.raiai	Chief AI Coordinator	Orchestrator & general-purpose assistant
Rai-AxV1	Modelfile.raiax	Rapid Action Executor	Scripting, automation, DevOps
Rai-OpV1	Modelfile.raiops	Operations & Security	Sysadmin, security, infrastructure
Rai-KaiV1	Modelfile.raikai	AI/Data Scientist	ML, analytics, AI strategy
Rai-MtV1	Modelfile.mythos-rdt	Narrative Intelligence	Documentation, storytelling, writing
Rai-ArchV1	Modelfile.architetto	Architect / Civil Engineer	Building design, structural engineering, urban planning
Rai-AvvV1	Modelfile.avvocato	International Lawyer	International law, contracts, compliance
Rai-ChiV1	Modelfile.chimico	Chemist / Professor	Organic/inorganic chemistry, lab research
Rai-ComV1	Modelfile.commercialista	Accountant	Tax, accounting, corporate advisory
Rai-DtnV1	Modelfile.dottore	Doctor / Biologist / Dietitian	Clinical nutrition, diagnostics, biology
Rai-FarV1	Modelfile.farmacista	Pharmacist	Pharmacology, drug interactions, herbal medicine
Rai-SciV1	Modelfile.scienziato	Cosmic Scientist	Astrophysics, cosmology, quantum physics
Rai-VetV1	Modelfile.veterinario	Veterinary Dietitian	Pet nutrition (dogs & cats)
Rai-MecV1	Modelfile.meccanico	Mechanical Technician	Mechatronics, auto repair, diagnostics
Rai-LLMV1	Modelfile.llm_expert	LLM Engineer	AI/ML training, fine-tuning, deployment

Parameters

Each Modelfile sets optimized inference parameters:

Parameter	Range	Purpose
temperature	0.2–0.8	Precision (low) vs creativity (high)
top_p	0.8–0.92	Nucleus sampling diversity
num_ctx	8192–16384	Context window length (tokens)

License

MIT