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feat:Support Minimax-Text-01 (#12763)

tags/0.15.2
Ding Jiatong 9 månader sedan
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api/core/model_runtime/model_providers/minimax/llm/llm.py Visa fil

@@ -34,6 +34,7 @@ from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage

class MinimaxLargeLanguageModel(LargeLanguageModel):
model_apis = {
"minimax-text-01": MinimaxChatCompletionPro,
"abab7-chat-preview": MinimaxChatCompletionPro,
"abab6.5t-chat": MinimaxChatCompletionPro,
"abab6.5s-chat": MinimaxChatCompletionPro,

+ 46
- 0
api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml Visa fil

@@ -0,0 +1,46 @@
model: minimax-text-01
label:
en_US: Minimax-Text-01
model_type: llm
features:
- agent-thought
- tool-call
- stream-tool-call
model_properties:
mode: chat
context_size: 1000192
parameter_rules:
- name: temperature
use_template: temperature
min: 0.01
max: 1
default: 0.1
- name: top_p
use_template: top_p
min: 0.01
max: 1
default: 0.95
- name: max_tokens
use_template: max_tokens
required: true
default: 2048
min: 1
max: 1000192
- name: mask_sensitive_info
type: boolean
default: true
label:
zh_Hans: 隐私保护
en_US: Moderate
help:
zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码,目前包括但不限于邮箱、域名、链接、证件号、家庭住址等,默认true,即开启打码
en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
- name: presence_penalty
use_template: presence_penalty
- name: frequency_penalty
use_template: frequency_penalty
pricing:
input: '0.001'
output: '0.008'
unit: '0.001'
currency: RMB

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