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@@ -0,0 +1,64 @@
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+model: grok-vision-beta
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+label:
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+ en_US: Grok Vision Beta
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+model_type: llm
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+features:
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+ - agent-thought
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+ - vision
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+model_properties:
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+ mode: chat
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+ context_size: 8192
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+parameter_rules:
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+ - name: temperature
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+ label:
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+ en_US: "Temperature"
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+ zh_Hans: "采样温度"
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+ type: float
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+ default: 0.7
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+ min: 0.0
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+ max: 2.0
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+ precision: 1
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+ required: true
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+ help:
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+ en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
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+ zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
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+
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+ - name: top_p
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+ label:
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+ en_US: "Top P"
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+ zh_Hans: "Top P"
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+ type: float
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+ default: 0.7
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+ min: 0.0
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+ max: 1.0
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+ precision: 1
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+ required: true
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+ help:
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+ en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time."
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+ zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。"
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+
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+ - name: frequency_penalty
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+ use_template: frequency_penalty
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+ label:
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+ en_US: "Frequency Penalty"
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+ zh_Hans: "频率惩罚"
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+ type: float
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+ default: 0
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+ min: 0
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+ max: 2.0
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+ precision: 1
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+ required: false
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+ help:
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+ en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim."
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+ zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。"
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+
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+ - name: user
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+ use_template: text
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+ label:
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+ en_US: "User"
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+ zh_Hans: "用户"
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+ type: string
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+ required: false
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+ help:
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+ en_US: "Used to track and differentiate conversation requests from different users."
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+ zh_Hans: "用于追踪和区分不同用户的对话请求。"
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Tao Wang