请问图文理解这样配置yml文件对吗？

id: 71010
name: glm4.5-vl-chat
icon_uri: default_icon/qwen_v2.png
icon_url: ""
description:
zh: GLM-4.5V模型
en: qwen model description
default_parameters:
- name: temperature
label:
zh: 生成随机性
en: Temperature
desc:
zh: '- **temperature**: 调高温度会使得模型的输出更多样性和创新性，反之，降低温度会使输出内容更加遵循指令要求但减少多样性。建议不要与“Top p”同时调整。'
en: '**Temperature**:\n\n- When you increase this value, the model outputs more diverse and innovative content; when you decrease it, the model outputs less diverse content that strictly follows the given instructions.\n- It is recommended not to adjust this value with \"Top p\" at the same time.'
type: float
min: "0"
max: "1"
default_val:
balance: "0.8"
creative: "1"
default_val: "1.0"
precise: "0.3"
precision: 1
options: []
style:
widget: slider
label:
zh: 生成多样性
en: Generation diversity
- name: max_tokens
label:
zh: 最大回复长度
en: Response max length
desc:
zh: 控制模型输出的Tokens 长度上限。通常 100 Tokens 约等于 150 个中文汉字。
en: You can specify the maximum length of the tokens output through this value. Typically, 100 tokens are approximately equal to 150 Chinese characters.
type: int
min: "1"
max: "4096"
default_val:
default_val: "4096"
options: []
style:
widget: slider
label:
zh: 输入及输出设置
en: Input and output settings
- name: top_p
label:
zh: Top P
en: Top P
desc:
zh: '- **Top p 为累计概率**: 模型在生成输出时会从概率最高的词汇开始选择，直到这些词汇的总概率累积达到Top p 值。这样可以限制模型只选择这些高概率的词汇，从而控制输出内容的多样性。建议不要与“生成随机性”同时调整。'
en: '**Top P**:\n\n- An alternative to sampling with temperature, where only tokens within the top p probability mass are considered. For example, 0.1 means only the top 10% probability mass tokens are considered.\n- We recommend altering this or temperature, but not both.'
type: float
min: "0"
max: "1"
default_val:
default_val: "0.95"
precision: 2
options: []
style:
widget: slider
label:
zh: 生成多样性
en: Generation diversity
meta:
protocol: openai
capability:
function_call: true
input_modal:
- image
- text
- vision
input_tokens: 32768
json_mode: false
max_tokens: 32768
output_modal:
- text
output_tokens: 8192
prefix_caching: false
reasoning: false
prefill_response: false
conn_config:
base_url: "http://10.176.92.217:9005/v1"
api_key: ""
timeout: 0s
model: ""
temperature: 0.7
frequency_penalty: 0
presence_penalty: 0
max_tokens: 4096
top_p: 1
top_k: 0
stop: []
qwen:
response_format:
type: text
jsonschema: null
custom: {}
status: 0

Start by checking the repository's configuration schema or validation entry point for the YAML shown in the issue, then compare its model, capability, and connection fields with the supported format. Done means the configuration is confirmed valid or the required corrections are documented.

Written by the indexing model from the issue text.