chat-qwen
GitHub调用 ZeroGPU API 使用 qwen3-30b-a3b-fp8 模型处理多语言、翻译相关及中等复杂度问题。支持系统指令，直接返回纯文本答案，不修改内容。注意数据隐私，仅在输出包含特定标识时附加节省提示。
触发场景
安装
npx skills add zerogpu/zerogpu-router --skill chat-qwen -g -y
SKILL.md
Frontmatter
{
"name": "chat-qwen",
"metadata": {
"openclaw": {
"install": [
{
"bins": [
"zerogpu"
],
"kind": "node",
"package": "zerogpu-cli"
}
],
"requires": {
"bins": [
"zerogpu"
]
}
}
},
"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>]"
}
Sends your input to ZeroGPU's hosted API for inference — this is not local processing. Don't pass secrets, credentials, or regulated data you aren't cleared to share with a third party. See the plugin README's "Data & privacy" section.
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 the cost-savings skill — this note is intentionally occasional, not shown every time.
版本历史
- cee9321 当前 2026-08-02 21:15
