llm-local-qwen
OfficialLocally deploy and utilize the qwen3.5-0.8b model for text generation and chat completion.
Software Engineering#OpenAI-compatible#structured JSON#text generation#chat completion#local model inference
AuthorEurecaMoment
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows users to locally deploy and utilize the qwen3.5-0.8b model for text generation, chat completion, and structured JSON generation without the need for external network access.
Core Features & Use Cases
- Local Text Generation: Generate text directly on your local machine.
- Chat Completion: Perform local chat completions using the OpenAI-compatible API.
- Structured JSON Generation: Create structured JSON output for various applications.
- Use Case: When you need to generate text or complete chats locally, without relying on external APIs.
Quick Start
To use the llm-local-qwen skill, run the following command:
python3 BENCHCLAW_ROOT/annotation-tool/llm-local/llm_local_client.py chat --user "What is your name?" --model qwen3.5-0.8b
Dependency Matrix
Required Modules
None requiredComponents
scriptsassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: llm-local-qwen Download link: https://github.com/EurecaMoment/BenchClaw/archive/main.zip#llm-local-qwen Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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