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almaaniraid-modelfiles
Raidone/almaaniraid-modelfiles
almaaniraid-modelfiles is a machine learning model from Raidone. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for ollama. The card lists the license as mit.
<p align="center" <img src="https://huggingface.co/Raidone/almaaniraid-modelfiles/resolve/main/logo.png" width="96" alt="RAIAI" </p
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Updated Jul 16, 2026
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At a glance
- Library
- ollama
- License
- mit
- Access
- Public
- Created
- Jun 30, 2026
- Updated
- Jul 16, 2026
- SHA
- b9758b7d
Model card
From the Hugging Face model README
<p align="center">
<img src="https://huggingface.co/Raidone/almaaniraid-modelfiles/resolve/main/logo.png" width="96" alt="RAIAI">
</p>
<h1 align="center">Almaaniraid Modelfiles</h1>
<p align="center">Italian-language Ollama Modelfiles for professional AI assistants — built on <strong>Qwen2 7B</strong>.</p>
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
- Library
- ollama
- License
- mit
- Languages
- it, en
- Created
- Jun 30, 2026
- Updated
- Jul 16, 2026