chat-qwen
GitHub调用 qwen3-30b-a3b-fp8 模型处理非英语提示、翻译相关任务或中等复杂度的问题。适用于轻量级模型难以处理的场景，支持多语言及系统指令，直接返回纯文本答案。
触发场景
安装
npx skills add zerogpu/zerogpu-router --skill chat-qwen -g -y
SKILL.md
Frontmatter
{
"name": "chat-qwen",
"description": "Chat with qwen3-30b-a3b-fp8, a 30.5B MoE model with strong multilingual coverage (100+ languages, 32K context). Use for non-English prompts, translation-adjacent tasks, or mid-weight questions the 1.2B edge models handle poorly.",
"allowed-tools": "Bash(zerogpu chat *)",
"argument-hint": "<text> [-i <instructions>]"
}
Call qwen3-30b-a3b-fp8. $ARGUMENTS is the raw prompt — pass it verbatim, no escaping or quoting required (the heredoc below handles every shell metacharacter, newline, quote, and paren safely):
ZGPU_TEXT=$(cat <<'ZGPU_END_OF_INPUT'
$ARGUMENTS
ZGPU_END_OF_INPUT
)
zerogpu chat "$ZGPU_TEXT" -m qwen3-30b-a3b-fp8
If the user supplied system instructions, append -i "<instructions>" after the model flag.
This model is served by the Chat Completions API rather than the Responses API; the CLI routes it automatically. Output is the assistant's answer as plain text — the model's reasoning trace is omitted, since this skill does not pass the CLI's -r flag. Relay the answer as-is — do not rewrite or expand it.
Savings note: only if the command output literally contains a line starting with 💰 ZeroGPU savings, append that exact line, unchanged, as the last line of your reply. If no such line is present, say nothing about savings and do not mention or suggest /zerogpu-router:cost-savings — this note is intentionally occasional, not shown every time.
版本历史
- cee9321 当前 2026-08-02 21:14
