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qwen-ollama

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Mis à jour27 juillet 2026 à 07:09

Use when a task needs local LLM inference via the on-box Ollama server (Qwen 2.5) instead of a cloud API.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

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Source

lawless-m

lawless-m/claude-skills

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

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2 fichiers

SKILL.md

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name	Qwen-Ollama
description	Use when a task needs local LLM inference via the on-box Ollama server (Qwen 2.5) instead of a cloud API.

Qwen via Ollama

Chosen model: qwen2.5:7b (4.7 GB). Other sizes exist if needed: 0.5b / 14b / 32b.
Endpoint: http://localhost:11434 (standard Ollama API).
Timeouts: 120 s default for analysis calls; longer (e.g. 300 s) for heavy generation.
Prefer local over cloud when: offline, data can't leave the machine, or bulk work where API cost matters.
VRAM contention with other GPU services: see the Vram-GPU-OOM-memory-management skill.

Reference implementation (Marvinous)

OllamaClient.rs in this folder — copy of the production async client (reqwest, timeout, error handling) from /home/matt/Marvinous/src/llm/client.rs.
Prompt building: /home/matt/Marvinous/src/llm/prompt.rs
System prompt (Marvin's personality): /etc/marvinous/system-prompt.txt
Config (model/endpoint settings): /etc/marvinous/marvinous.toml

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name	Qwen-Ollama
description	Use when a task needs local LLM inference via the on-box Ollama server (Qwen 2.5) instead of a cloud API.

Qwen via Ollama

Chosen model: qwen2.5:7b (4.7 GB). Other sizes exist if needed: 0.5b / 14b / 32b.
Endpoint: http://localhost:11434 (standard Ollama API).
Timeouts: 120 s default for analysis calls; longer (e.g. 300 s) for heavy generation.
Prefer local over cloud when: offline, data can't leave the machine, or bulk work where API cost matters.
VRAM contention with other GPU services: see the Vram-GPU-OOM-memory-management skill.

Reference implementation (Marvinous)

OllamaClient.rs in this folder — copy of the production async client (reqwest, timeout, error handling) from /home/matt/Marvinous/src/llm/client.rs.
Prompt building: /home/matt/Marvinous/src/llm/prompt.rs
System prompt (Marvin's personality): /etc/marvinous/system-prompt.txt
Config (model/endpoint settings): /etc/marvinous/marvinous.toml