2024-07-16 15:19:43 +08:00
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{
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"factory_llm_infos": [
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{
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"name": "OpenAI",
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2024-11-20 12:16:36 +08:00
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"tags": "LLM,TEXT EMBEDDING,TTS,TEXT RE-RANK,SPEECH2TEXT,MODERATION",
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2024-07-16 15:19:43 +08:00
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2025-11-12 09:38:06 +08:00
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"rank": "999",
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2024-07-16 15:19:43 +08:00
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"llm": [
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2025-12-12 17:35:08 +08:00
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{
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"llm_name": "gpt-5.2-pro",
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"tags": "LLM,CHAT,400k,IMAGE2TEXT",
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},
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{
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"llm_name": "gpt-5.2",
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"tags": "LLM,CHAT,400k,IMAGE2TEXT",
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"model_type": "chat",
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"is_tools": true
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},
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2025-11-27 17:59:17 +08:00
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{
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"llm_name": "gpt-5.1",
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"tags": "LLM,CHAT,400k,IMAGE2TEXT",
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"max_tokens": 400000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gpt-5.1-chat-latest",
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"tags": "LLM,CHAT,400k,IMAGE2TEXT",
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"max_tokens": 400000,
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"model_type": "chat",
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"is_tools": true
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},
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2025-08-08 11:54:40 +08:00
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{
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"llm_name": "gpt-5",
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"tags": "LLM,CHAT,400k,IMAGE2TEXT",
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gpt-5-mini",
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"tags": "LLM,CHAT,400k,IMAGE2TEXT",
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"max_tokens": 400000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gpt-5-nano",
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"tags": "LLM,CHAT,400k,IMAGE2TEXT",
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"is_tools": true
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},
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{
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"llm_name": "gpt-5-chat-latest",
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"tags": "LLM,CHAT,400k,IMAGE2TEXT",
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"max_tokens": 400000,
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},
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2025-05-12 12:24:53 +02:00
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{
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"tags": "LLM,CHAT,1M,IMAGE2TEXT",
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},
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{
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"llm_name": "gpt-4.1-mini",
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"tags": "LLM,CHAT,1M,IMAGE2TEXT",
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},
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{
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"llm_name": "gpt-4.1-nano",
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"tags": "LLM,CHAT,1M,IMAGE2TEXT",
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},
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2025-04-29 18:26:29 +08:00
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{
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"llm_name": "gpt-4.5-preview",
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"tags": "LLM,CHAT,128K",
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},
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{
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"llm_name": "o3",
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"tags": "LLM,CHAT,200K,IMAGE2TEXT",
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},
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{
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"llm_name": "o4-mini",
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"tags": "LLM,CHAT,200K,IMAGE2TEXT",
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},
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{
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"llm_name": "o4-mini-high",
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"tags": "LLM,CHAT,200K,IMAGE2TEXT",
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},
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2024-08-08 12:30:40 +08:00
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{
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"llm_name": "gpt-4o-mini",
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2025-02-18 11:14:48 +08:00
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"tags": "LLM,CHAT,128K,IMAGE2TEXT",
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2024-08-08 12:30:40 +08:00
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"max_tokens": 128000,
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2025-03-26 17:31:18 +08:00
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"model_type": "chat",
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"is_tools": true
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2024-08-08 12:30:40 +08:00
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},
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2024-07-16 15:19:43 +08:00
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{
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"llm_name": "gpt-4o",
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2025-02-18 11:14:48 +08:00
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"tags": "LLM,CHAT,128K,IMAGE2TEXT",
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2024-07-16 15:19:43 +08:00
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"max_tokens": 128000,
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2025-03-26 17:31:18 +08:00
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"model_type": "chat",
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2024-07-16 15:19:43 +08:00
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},
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{
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"llm_name": "gpt-3.5-turbo",
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"tags": "LLM,CHAT,4K",
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"max_tokens": 4096,
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2025-03-26 17:31:18 +08:00
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"model_type": "chat",
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2024-07-16 15:19:43 +08:00
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},
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{
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"llm_name": "gpt-3.5-turbo-16k-0613",
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"tags": "LLM,CHAT,16k",
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2025-03-26 17:31:18 +08:00
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"model_type": "chat",
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"is_tools": false
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2024-07-16 15:19:43 +08:00
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},
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{
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"llm_name": "text-embedding-ada-002",
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"tags": "TEXT EMBEDDING,8K",
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2025-03-26 17:31:18 +08:00
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"model_type": "embedding",
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2024-07-16 15:19:43 +08:00
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},
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{
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"llm_name": "text-embedding-3-small",
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"tags": "TEXT EMBEDDING,8K",
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2025-03-26 17:31:18 +08:00
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"model_type": "embedding",
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"is_tools": false
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2024-07-16 15:19:43 +08:00
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},
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{
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"llm_name": "text-embedding-3-large",
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"tags": "TEXT EMBEDDING,8K",
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2025-03-26 17:31:18 +08:00
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"model_type": "embedding",
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2024-07-16 15:19:43 +08:00
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},
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{
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"llm_name": "whisper-1",
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"tags": "SPEECH2TEXT",
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2025-03-26 17:31:18 +08:00
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"model_type": "speech2text",
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"is_tools": false
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2024-07-16 15:19:43 +08:00
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{
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"llm_name": "gpt-4",
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"max_tokens": 8191,
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2025-03-26 17:31:18 +08:00
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2024-07-16 15:19:43 +08:00
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{
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"llm_name": "gpt-4-turbo",
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2025-03-26 17:31:18 +08:00
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"model_type": "chat",
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"is_tools": true
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2024-07-16 15:19:43 +08:00
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{
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"llm_name": "gpt-4-32k",
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"tags": "LLM,CHAT,32K",
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"max_tokens": 32768,
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2025-03-26 17:31:18 +08:00
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"model_type": "chat",
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2024-07-16 15:19:43 +08:00
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2024-09-19 16:55:18 +08:00
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{
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"llm_name": "tts-1",
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"tags": "TTS",
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2025-03-26 17:31:18 +08:00
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"model_type": "tts",
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2024-07-16 15:19:43 +08:00
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2025-07-11 10:35:23 +08:00
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{
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"name": "xAI",
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"tags": "LLM",
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"status": "1",
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2025-11-12 09:38:06 +08:00
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"rank": "930",
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2025-07-11 10:35:23 +08:00
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"llm": [
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{
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{
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"llm_name": "grok-3",
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{
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"llm_name": "grok-3-fast",
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{
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"llm_name": "grok-3-mini",
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{
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"llm_name": "grok-3-mini-mini-fast",
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"tags": "LLM,CHAT,130k",
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{
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"llm_name": "grok-2-vision",
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"tags": "LLM,CHAT,IMAGE2TEXT,32k",
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"model_type": "image2text",
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2025-09-11 17:25:31 +08:00
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{
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"name": "TokenPony",
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"tags": "LLM",
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"llm": [
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{
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"llm_name": "qwen3-8b",
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2025-10-28 10:04:41 +08:00
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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2025-09-11 17:25:31 +08:00
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"model_type": "chat",
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"is_tools": true
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{
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"llm_name": "deepseek-v3-0324",
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"tags": "LLM,CHAT,128k",
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{
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"llm_name": "qwen3-32b",
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2025-10-28 10:04:41 +08:00
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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2025-09-11 17:25:31 +08:00
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"model_type": "chat",
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{
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2025-10-28 10:04:41 +08:00
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"llm_name": "kimi-k2-instruct-0905",
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"tags": "LLM,CHAT,256K",
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2025-09-11 17:25:31 +08:00
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"model_type": "chat",
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{
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"llm_name": "deepseek-r1-0528",
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"tags": "LLM,CHAT,164k",
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{
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"llm_name": "qwen3-coder-480b",
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"tags": "LLM,CHAT,1024k",
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2025-10-28 10:04:41 +08:00
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{
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"llm_name": "hunyuan-a13b-instruct",
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"tags": "LLM,CHAT,256k",
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"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwen3-next-80b-a3b-instruct",
|
|
|
|
|
"tags": "LLM,CHAT,1024k",
|
|
|
|
|
"max_tokens": 1024000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-v3.2-exp",
|
|
|
|
|
"tags": "LLM,CHAT,128k",
|
|
|
|
|
"max_tokens": 128000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-v3.1-terminus",
|
|
|
|
|
"tags": "LLM,CHAT,128k",
|
|
|
|
|
"max_tokens": 128000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwen3-vl-235b-a22b-instruct",
|
|
|
|
|
"tags": "LLM,CHAT,262k",
|
|
|
|
|
"max_tokens": 262000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwen3-vl-30b-a3b-instruct",
|
|
|
|
|
"tags": "LLM,CHAT,262k",
|
|
|
|
|
"max_tokens": 262000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
2025-11-28 12:10:04 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-ocr",
|
|
|
|
|
"tags": "LLM,8k",
|
|
|
|
|
"max_tokens": 8000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwen3-235b-a22b-instruct-2507",
|
|
|
|
|
"tags": "LLM,CHAT,256k",
|
|
|
|
|
"max_tokens": 256000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "glm-4.6",
|
|
|
|
|
"tags": "LLM,CHAT,200k",
|
|
|
|
|
"max_tokens": 200000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "minimax-m2",
|
|
|
|
|
"tags": "LLM,CHAT,200k",
|
|
|
|
|
"max_tokens": 200000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
2025-09-11 17:25:31 +08:00
|
|
|
}
|
|
|
|
|
]
|
|
|
|
|
},
|
2024-07-16 15:19:43 +08:00
|
|
|
{
|
|
|
|
|
"name": "Tongyi-Qianwen",
|
|
|
|
|
"logo": "",
|
2024-11-20 12:16:36 +08:00
|
|
|
"tags": "LLM,TEXT EMBEDDING,TEXT RE-RANK,TTS,SPEECH2TEXT,MODERATION",
|
2024-07-16 15:19:43 +08:00
|
|
|
"status": "1",
|
2025-11-12 09:38:06 +08:00
|
|
|
"rank": "950",
|
2024-07-16 15:19:43 +08:00
|
|
|
"llm": [
|
2025-07-31 14:42:32 +08:00
|
|
|
{
|
|
|
|
|
"llm_name": "Moonshot-Kimi-K2-Instruct",
|
|
|
|
|
"tags": "LLM,CHAT,128K",
|
|
|
|
|
"max_tokens": 131072,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
2025-12-11 13:55:01 +08:00
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-v3.2",
|
|
|
|
|
"tags": "LLM,CHAT,128K",
|
|
|
|
|
"max_tokens": 128000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
2025-02-12 17:52:29 +08:00
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-r1",
|
|
|
|
|
"tags": "LLM,CHAT,64K",
|
|
|
|
|
"max_tokens": 65792,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
2025-04-15 09:19:07 +08:00
|
|
|
"is_tools": false
|
2025-02-12 17:52:29 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-v3",
|
|
|
|
|
"tags": "LLM,CHAT,64K",
|
|
|
|
|
"max_tokens": 65792,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
2025-02-12 17:52:29 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-r1-distill-qwen-1.5b",
|
|
|
|
|
"tags": "LLM,CHAT,32K",
|
|
|
|
|
"max_tokens": 32768,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
2025-02-12 17:52:29 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-r1-distill-qwen-7b",
|
|
|
|
|
"tags": "LLM,CHAT,32K",
|
|
|
|
|
"max_tokens": 32768,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
2025-02-12 17:52:29 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-r1-distill-qwen-14b",
|
|
|
|
|
"tags": "LLM,CHAT,32K",
|
|
|
|
|
"max_tokens": 32768,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
2025-02-12 17:52:29 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-r1-distill-qwen-32b",
|
|
|
|
|
"tags": "LLM,CHAT,32K",
|
|
|
|
|
"max_tokens": 32768,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
2025-02-12 17:52:29 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-r1-distill-llama-8b",
|
|
|
|
|
"tags": "LLM,CHAT,32K",
|
|
|
|
|
"max_tokens": 32768,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
2025-02-12 17:52:29 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-r1-distill-llama-70b",
|
|
|
|
|
"tags": "LLM,CHAT,32K",
|
|
|
|
|
"max_tokens": 32768,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
2025-02-12 17:52:29 +08:00
|
|
|
},
|
2025-03-12 18:54:15 +08:00
|
|
|
{
|
|
|
|
|
"llm_name": "qwq-32b",
|
|
|
|
|
"tags": "LLM,CHAT,128k",
|
|
|
|
|
"max_tokens": 131072,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
2025-03-12 18:54:15 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwq-plus",
|
2025-04-01 11:06:03 +08:00
|
|
|
"tags": "LLM,CHAT,132k",
|
|
|
|
|
"max_tokens": 131072,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
Refa: revise the implementation of LightRAG and enable response caching (#9828)
### What problem does this PR solve?
This revision performed a comprehensive check on LightRAG to ensure the
correctness of its implementation. It **did not involve** Entity
Resolution and Community Reports Generation. There is an example using
default entity types and the General chunking method, which shows good
results in both time and effectiveness. Moreover, response caching is
enabled for resuming failed tasks.
[The-Necklace.pdf](https://github.com/user-attachments/files/22042432/The-Necklace.pdf)
After:
```bash
Begin at:
Fri, 29 Aug 2025 16:48:03 GMT
Duration:
222.31 s
Progress:
16:48:04 Task has been received.
16:48:06 Page(1~7): Start to parse.
16:48:06 Page(1~7): OCR started
16:48:08 Page(1~7): OCR finished (1.89s)
16:48:11 Page(1~7): Layout analysis (3.72s)
16:48:11 Page(1~7): Table analysis (0.00s)
16:48:11 Page(1~7): Text merged (0.00s)
16:48:11 Page(1~7): Finish parsing.
16:48:12 Page(1~7): Generate 7 chunks
16:48:12 Page(1~7): Embedding chunks (0.29s)
16:48:12 Page(1~7): Indexing done (0.04s). Task done (7.84s)
16:48:17 Start processing for f421fb06849e11f0bdd32724b93a52b2: She had no dresses, no je...
16:48:17 Start processing for f421fb06849e11f0bdd32724b93a52b2: Her husband, already half...
16:48:17 Start processing for f421fb06849e11f0bdd32724b93a52b2: And this life lasted ten ...
16:48:17 Start processing for f421fb06849e11f0bdd32724b93a52b2: Then she asked, hesitatin...
16:49:30 Completed processing for f421fb06849e11f0bdd32724b93a52b2: She had no dresses, no je... after 1 gleanings, 21985 tokens.
16:49:30 Entities extraction of chunk 3 1/7 done, 12 nodes, 13 edges, 21985 tokens.
16:49:40 Completed processing for f421fb06849e11f0bdd32724b93a52b2: Finally, she replied, hes... after 1 gleanings, 22584 tokens.
16:49:40 Entities extraction of chunk 5 2/7 done, 19 nodes, 19 edges, 22584 tokens.
16:50:02 Completed processing for f421fb06849e11f0bdd32724b93a52b2: Then she asked, hesitatin... after 1 gleanings, 24610 tokens.
16:50:02 Entities extraction of chunk 0 3/7 done, 16 nodes, 28 edges, 24610 tokens.
16:50:03 Completed processing for f421fb06849e11f0bdd32724b93a52b2: And this life lasted ten ... after 1 gleanings, 24031 tokens.
16:50:04 Entities extraction of chunk 1 4/7 done, 24 nodes, 22 edges, 24031 tokens.
16:50:14 Completed processing for f421fb06849e11f0bdd32724b93a52b2: So they begged the jewell... after 1 gleanings, 24635 tokens.
16:50:14 Entities extraction of chunk 6 5/7 done, 27 nodes, 26 edges, 24635 tokens.
16:50:29 Completed processing for f421fb06849e11f0bdd32724b93a52b2: Her husband, already half... after 1 gleanings, 25758 tokens.
16:50:29 Entities extraction of chunk 2 6/7 done, 25 nodes, 35 edges, 25758 tokens.
16:51:35 Completed processing for f421fb06849e11f0bdd32724b93a52b2: The Necklace By Guy de Ma... after 1 gleanings, 27491 tokens.
16:51:35 Entities extraction of chunk 4 7/7 done, 39 nodes, 37 edges, 27491 tokens.
16:51:35 Entities and relationships extraction done, 147 nodes, 177 edges, 171094 tokens, 198.58s.
16:51:35 Entities merging done, 0.01s.
16:51:35 Relationships merging done, 0.01s.
16:51:35 ignored 7 relations due to missing entities.
16:51:35 generated subgraph for doc f421fb06849e11f0bdd32724b93a52b2 in 198.68 seconds.
16:51:35 run_graphrag f421fb06849e11f0bdd32724b93a52b2 graphrag_task_lock acquired
16:51:35 set_graph removed 0 nodes and 0 edges from index in 0.00s.
16:51:35 Get embedding of nodes: 9/147
16:51:35 Get embedding of nodes: 109/147
16:51:37 Get embedding of edges: 9/170
16:51:37 Get embedding of edges: 109/170
16:51:40 set_graph converted graph change to 319 chunks in 4.21s.
16:51:40 Insert chunks: 4/319
16:51:40 Insert chunks: 104/319
16:51:40 Insert chunks: 204/319
16:51:40 Insert chunks: 304/319
16:51:40 set_graph added/updated 147 nodes and 170 edges from index in 0.53s.
16:51:40 merging subgraph for doc f421fb06849e11f0bdd32724b93a52b2 into the global graph done in 4.79 seconds.
16:51:40 Knowledge Graph done (204.29s)
```
Before:
```bash
Begin at:
Fri, 29 Aug 2025 17:00:47 GMT
processDuration:
173.38 s
Progress:
17:00:49 Task has been received.
17:00:51 Page(1~7): Start to parse.
17:00:51 Page(1~7): OCR started
17:00:53 Page(1~7): OCR finished (1.82s)
17:00:57 Page(1~7): Layout analysis (3.64s)
17:00:57 Page(1~7): Table analysis (0.00s)
17:00:57 Page(1~7): Text merged (0.00s)
17:00:57 Page(1~7): Finish parsing.
17:00:57 Page(1~7): Generate 7 chunks
17:00:57 Page(1~7): Embedding chunks (0.31s)
17:00:57 Page(1~7): Indexing done (0.03s). Task done (7.88s)
17:00:57 created task graphrag
17:01:00 Task has been received.
17:02:17 Entities extraction of chunk 1 1/7 done, 9 nodes, 9 edges, 10654 tokens.
17:02:31 Entities extraction of chunk 2 2/7 done, 12 nodes, 13 edges, 11066 tokens.
17:02:33 Entities extraction of chunk 4 3/7 done, 9 nodes, 10 edges, 10433 tokens.
17:02:42 Entities extraction of chunk 5 4/7 done, 11 nodes, 14 edges, 11290 tokens.
17:02:52 Entities extraction of chunk 6 5/7 done, 13 nodes, 15 edges, 11039 tokens.
17:02:55 Entities extraction of chunk 3 6/7 done, 14 nodes, 13 edges, 11466 tokens.
17:03:32 Entities extraction of chunk 0 7/7 done, 19 nodes, 18 edges, 13107 tokens.
17:03:32 Entities and relationships extraction done, 71 nodes, 89 edges, 79055 tokens, 149.66s.
17:03:32 Entities merging done, 0.01s.
17:03:32 Relationships merging done, 0.01s.
17:03:32 ignored 1 relations due to missing entities.
17:03:32 generated subgraph for doc b1d9d3b6848711f0aacd7ddc0714c4d3 in 149.69 seconds.
17:03:32 run_graphrag b1d9d3b6848711f0aacd7ddc0714c4d3 graphrag_task_lock acquired
17:03:32 set_graph removed 0 nodes and 0 edges from index in 0.00s.
17:03:32 Get embedding of nodes: 9/71
17:03:33 Get embedding of edges: 9/88
17:03:34 set_graph converted graph change to 161 chunks in 2.27s.
17:03:34 Insert chunks: 4/161
17:03:34 Insert chunks: 104/161
17:03:34 set_graph added/updated 71 nodes and 88 edges from index in 0.28s.
17:03:34 merging subgraph for doc b1d9d3b6848711f0aacd7ddc0714c4d3 into the global graph done in 2.60 seconds.
17:03:34 Knowledge Graph done (153.18s)
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
- [x] Performance Improvement
2025-08-29 17:58:36 +08:00
|
|
|
{
|
|
|
|
|
"llm_name": "qwen-plus-2025-07-28",
|
|
|
|
|
"tags": "LLM,CHAT,132k",
|
|
|
|
|
"max_tokens": 131072,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwen-plus-2025-07-14",
|
|
|
|
|
"tags": "LLM,CHAT,132k",
|
|
|
|
|
"max_tokens": 131072,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
2025-04-01 11:06:03 +08:00
|
|
|
{
|
|
|
|
|
"llm_name": "qwq-plus-latest",
|
|
|
|
|
"tags": "LLM,CHAT,132k",
|
2025-03-12 18:54:15 +08:00
|
|
|
"max_tokens": 131072,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
2025-03-12 18:54:15 +08:00
|
|
|
},
|
Refa: revise the implementation of LightRAG and enable response caching (#9828)
### What problem does this PR solve?
This revision performed a comprehensive check on LightRAG to ensure the
correctness of its implementation. It **did not involve** Entity
Resolution and Community Reports Generation. There is an example using
default entity types and the General chunking method, which shows good
results in both time and effectiveness. Moreover, response caching is
enabled for resuming failed tasks.
[The-Necklace.pdf](https://github.com/user-attachments/files/22042432/The-Necklace.pdf)
After:
```bash
Begin at:
Fri, 29 Aug 2025 16:48:03 GMT
Duration:
222.31 s
Progress:
16:48:04 Task has been received.
16:48:06 Page(1~7): Start to parse.
16:48:06 Page(1~7): OCR started
16:48:08 Page(1~7): OCR finished (1.89s)
16:48:11 Page(1~7): Layout analysis (3.72s)
16:48:11 Page(1~7): Table analysis (0.00s)
16:48:11 Page(1~7): Text merged (0.00s)
16:48:11 Page(1~7): Finish parsing.
16:48:12 Page(1~7): Generate 7 chunks
16:48:12 Page(1~7): Embedding chunks (0.29s)
16:48:12 Page(1~7): Indexing done (0.04s). Task done (7.84s)
16:48:17 Start processing for f421fb06849e11f0bdd32724b93a52b2: She had no dresses, no je...
16:48:17 Start processing for f421fb06849e11f0bdd32724b93a52b2: Her husband, already half...
16:48:17 Start processing for f421fb06849e11f0bdd32724b93a52b2: And this life lasted ten ...
16:48:17 Start processing for f421fb06849e11f0bdd32724b93a52b2: Then she asked, hesitatin...
16:49:30 Completed processing for f421fb06849e11f0bdd32724b93a52b2: She had no dresses, no je... after 1 gleanings, 21985 tokens.
16:49:30 Entities extraction of chunk 3 1/7 done, 12 nodes, 13 edges, 21985 tokens.
16:49:40 Completed processing for f421fb06849e11f0bdd32724b93a52b2: Finally, she replied, hes... after 1 gleanings, 22584 tokens.
16:49:40 Entities extraction of chunk 5 2/7 done, 19 nodes, 19 edges, 22584 tokens.
16:50:02 Completed processing for f421fb06849e11f0bdd32724b93a52b2: Then she asked, hesitatin... after 1 gleanings, 24610 tokens.
16:50:02 Entities extraction of chunk 0 3/7 done, 16 nodes, 28 edges, 24610 tokens.
16:50:03 Completed processing for f421fb06849e11f0bdd32724b93a52b2: And this life lasted ten ... after 1 gleanings, 24031 tokens.
16:50:04 Entities extraction of chunk 1 4/7 done, 24 nodes, 22 edges, 24031 tokens.
16:50:14 Completed processing for f421fb06849e11f0bdd32724b93a52b2: So they begged the jewell... after 1 gleanings, 24635 tokens.
16:50:14 Entities extraction of chunk 6 5/7 done, 27 nodes, 26 edges, 24635 tokens.
16:50:29 Completed processing for f421fb06849e11f0bdd32724b93a52b2: Her husband, already half... after 1 gleanings, 25758 tokens.
16:50:29 Entities extraction of chunk 2 6/7 done, 25 nodes, 35 edges, 25758 tokens.
16:51:35 Completed processing for f421fb06849e11f0bdd32724b93a52b2: The Necklace By Guy de Ma... after 1 gleanings, 27491 tokens.
16:51:35 Entities extraction of chunk 4 7/7 done, 39 nodes, 37 edges, 27491 tokens.
16:51:35 Entities and relationships extraction done, 147 nodes, 177 edges, 171094 tokens, 198.58s.
16:51:35 Entities merging done, 0.01s.
16:51:35 Relationships merging done, 0.01s.
16:51:35 ignored 7 relations due to missing entities.
16:51:35 generated subgraph for doc f421fb06849e11f0bdd32724b93a52b2 in 198.68 seconds.
16:51:35 run_graphrag f421fb06849e11f0bdd32724b93a52b2 graphrag_task_lock acquired
16:51:35 set_graph removed 0 nodes and 0 edges from index in 0.00s.
16:51:35 Get embedding of nodes: 9/147
16:51:35 Get embedding of nodes: 109/147
16:51:37 Get embedding of edges: 9/170
16:51:37 Get embedding of edges: 109/170
16:51:40 set_graph converted graph change to 319 chunks in 4.21s.
16:51:40 Insert chunks: 4/319
16:51:40 Insert chunks: 104/319
16:51:40 Insert chunks: 204/319
16:51:40 Insert chunks: 304/319
16:51:40 set_graph added/updated 147 nodes and 170 edges from index in 0.53s.
16:51:40 merging subgraph for doc f421fb06849e11f0bdd32724b93a52b2 into the global graph done in 4.79 seconds.
16:51:40 Knowledge Graph done (204.29s)
```
Before:
```bash
Begin at:
Fri, 29 Aug 2025 17:00:47 GMT
processDuration:
173.38 s
Progress:
17:00:49 Task has been received.
17:00:51 Page(1~7): Start to parse.
17:00:51 Page(1~7): OCR started
17:00:53 Page(1~7): OCR finished (1.82s)
17:00:57 Page(1~7): Layout analysis (3.64s)
17:00:57 Page(1~7): Table analysis (0.00s)
17:00:57 Page(1~7): Text merged (0.00s)
17:00:57 Page(1~7): Finish parsing.
17:00:57 Page(1~7): Generate 7 chunks
17:00:57 Page(1~7): Embedding chunks (0.31s)
17:00:57 Page(1~7): Indexing done (0.03s). Task done (7.88s)
17:00:57 created task graphrag
17:01:00 Task has been received.
17:02:17 Entities extraction of chunk 1 1/7 done, 9 nodes, 9 edges, 10654 tokens.
17:02:31 Entities extraction of chunk 2 2/7 done, 12 nodes, 13 edges, 11066 tokens.
17:02:33 Entities extraction of chunk 4 3/7 done, 9 nodes, 10 edges, 10433 tokens.
17:02:42 Entities extraction of chunk 5 4/7 done, 11 nodes, 14 edges, 11290 tokens.
17:02:52 Entities extraction of chunk 6 5/7 done, 13 nodes, 15 edges, 11039 tokens.
17:02:55 Entities extraction of chunk 3 6/7 done, 14 nodes, 13 edges, 11466 tokens.
17:03:32 Entities extraction of chunk 0 7/7 done, 19 nodes, 18 edges, 13107 tokens.
17:03:32 Entities and relationships extraction done, 71 nodes, 89 edges, 79055 tokens, 149.66s.
17:03:32 Entities merging done, 0.01s.
17:03:32 Relationships merging done, 0.01s.
17:03:32 ignored 1 relations due to missing entities.
17:03:32 generated subgraph for doc b1d9d3b6848711f0aacd7ddc0714c4d3 in 149.69 seconds.
17:03:32 run_graphrag b1d9d3b6848711f0aacd7ddc0714c4d3 graphrag_task_lock acquired
17:03:32 set_graph removed 0 nodes and 0 edges from index in 0.00s.
17:03:32 Get embedding of nodes: 9/71
17:03:33 Get embedding of edges: 9/88
17:03:34 set_graph converted graph change to 161 chunks in 2.27s.
17:03:34 Insert chunks: 4/161
17:03:34 Insert chunks: 104/161
17:03:34 set_graph added/updated 71 nodes and 88 edges from index in 0.28s.
17:03:34 merging subgraph for doc b1d9d3b6848711f0aacd7ddc0714c4d3 into the global graph done in 2.60 seconds.
17:03:34 Knowledge Graph done (153.18s)
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
- [x] Performance Improvement
2025-08-29 17:58:36 +08:00
|
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{
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"llm_name": "qwen-flash",
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"tags": "LLM,CHAT,1M",
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"max_tokens": 1000000,
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"model_type": "chat",
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"is_tools": true
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},
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{
|
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"llm_name": "qwen-flash-2025-07-28",
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"tags": "LLM,CHAT,1M",
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"max_tokens": 1000000,
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"model_type": "chat",
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"is_tools": true
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},
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2025-09-08 10:39:23 +08:00
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{
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2025-09-24 20:00:53 +08:00
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"llm_name": "qwen3-max",
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2025-09-08 10:39:23 +08:00
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"tags": "LLM,CHAT,256k",
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"max_tokens": 256000,
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"model_type": "chat",
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"is_tools": true
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},
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2025-08-01 15:19:51 +08:00
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{
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"llm_name": "qwen3-coder-480b-a35b-instruct",
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"tags": "LLM,CHAT,256k",
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"max_tokens": 256000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-30b-a3b-instruct-2507",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-30b-a3b-thinking-2507",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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2025-04-29 18:26:29 +08:00
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{
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"llm_name": "qwen3-30b-a3b",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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2025-09-24 20:00:53 +08:00
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{
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"llm_name": "qwen3-vl-plus",
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"tags": "LLM,CHAT,IMAGE2TEXT,256k",
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"max_tokens": 256000,
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"model_type": "image2text",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-vl-235b-a22b-instruct",
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"tags": "LLM,CHAT,IMAGE2TEXT,128k",
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"max_tokens": 128000,
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"model_type": "image2text",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-vl-235b-a22b-thinking",
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"tags": "LLM,CHAT,IMAGE2TEXT,128k",
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"max_tokens": 128000,
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"model_type": "image2text",
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"is_tools": true
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},
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2025-08-01 15:19:51 +08:00
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{
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"llm_name": "qwen3-235b-a22b-instruct-2507",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-235b-a22b-thinking-2507",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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2025-04-29 18:26:29 +08:00
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{
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"llm_name": "qwen3-235b-a22b",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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2025-09-24 20:00:53 +08:00
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{
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"llm_name": "qwen3-next-80b-a3b-instruct",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-next-80b-a3b-thinking",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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2025-04-29 18:26:29 +08:00
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{
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"llm_name": "qwen3-0.6b",
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"tags": "LLM,CHAT,32k",
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"max_tokens": 32000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-1.7b",
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"tags": "LLM,CHAT,32k",
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"max_tokens": 32000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-4b",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-8b",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-14b",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-32b",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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2024-10-21 12:11:08 +08:00
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{
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"llm_name": "qwen-long",
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"tags": "LLM,CHAT,10000K",
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"max_tokens": 1000000,
|
2025-03-26 17:31:18 +08:00
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|
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"model_type": "chat",
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"is_tools": true
|
2024-10-21 12:11:08 +08:00
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},
|
2024-07-16 15:19:43 +08:00
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|
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{
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"llm_name": "qwen-turbo",
|
2025-04-29 18:26:29 +08:00
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"tags": "LLM,CHAT,1M",
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"max_tokens": 1000000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen-turbo-2025-04-28",
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"tags": "LLM,CHAT,1M",
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"max_tokens": 1000000,
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|
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen-turbo-latest",
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"tags": "LLM,CHAT,1M",
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"max_tokens": 1000000,
|
2025-03-26 17:31:18 +08:00
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"model_type": "chat",
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"is_tools": true
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2024-07-16 15:19:43 +08:00
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},
|
2025-01-03 19:55:42 +08:00
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{
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"llm_name": "qwen-max",
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"tags": "LLM,CHAT,32K",
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"max_tokens": 32768,
|
2025-03-26 17:31:18 +08:00
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"model_type": "chat",
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"is_tools": true
|
2025-01-03 19:55:42 +08:00
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},
|
2024-07-16 15:19:43 +08:00
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{
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"llm_name": "qwen-plus",
|
2025-04-15 09:19:07 +08:00
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"tags": "LLM,CHAT,132k",
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"max_tokens": 131072,
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"model_type": "chat",
|
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|
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"is_tools": true
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|
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},
|
2025-04-29 18:26:29 +08:00
|
|
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{
|
|
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|
|
"llm_name": "qwen-plus-2025-04-28",
|
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|
|
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"tags": "LLM,CHAT,128k",
|
|
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"max_tokens": 128000,
|
|
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|
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"model_type": "chat",
|
|
|
|
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"is_tools": true
|
|
|
|
|
},
|
2025-04-15 09:19:07 +08:00
|
|
|
{
|
|
|
|
|
"llm_name": "qwen-plus-latest",
|
|
|
|
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"tags": "LLM,CHAT,132k",
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|
"max_tokens": 131072,
|
2025-03-26 17:31:18 +08:00
|
|
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"model_type": "chat",
|
|
|
|
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"is_tools": true
|
2024-07-16 15:19:43 +08:00
|
|
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},
|
|
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|
|
{
|
|
|
|
|
"llm_name": "text-embedding-v2",
|
|
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|
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"tags": "TEXT EMBEDDING,2K",
|
|
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|
|
"max_tokens": 2048,
|
|
|
|
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"model_type": "embedding"
|
|
|
|
|
},
|
2024-09-09 11:01:43 +08:00
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|
|
{
|
|
|
|
|
"llm_name": "sambert-zhide-v1",
|
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|
|
"tags": "TTS",
|
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"max_tokens": 2048,
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|
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"model_type": "tts"
|
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},
|
|
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|
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{
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|
|
"llm_name": "sambert-zhiru-v1",
|
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"tags": "TTS",
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"max_tokens": 2048,
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"model_type": "tts"
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},
|
2024-08-20 09:44:15 +08:00
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|
|
{
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|
|
"llm_name": "text-embedding-v3",
|
2024-08-28 10:14:19 +08:00
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|
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"tags": "TEXT EMBEDDING,8K",
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"max_tokens": 8192,
|
2024-08-20 09:44:15 +08:00
|
|
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"model_type": "embedding"
|
|
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|
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},
|
2025-06-11 15:32:05 +08:00
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|
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{
|
|
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|
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"llm_name": "text-embedding-v4",
|
|
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|
|
"tags": "TEXT EMBEDDING,8K",
|
|
|
|
|
"max_tokens": 8192,
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
},
|
2024-07-16 15:19:43 +08:00
|
|
|
{
|
|
|
|
|
"llm_name": "qwen-vl-max",
|
|
|
|
|
"tags": "LLM,CHAT,IMAGE2TEXT",
|
|
|
|
|
"max_tokens": 765,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "image2text",
|
|
|
|
|
"is_tools": false
|
2024-08-09 18:58:58 +08:00
|
|
|
},
|
|
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{
|
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|
|
"llm_name": "qwen-vl-plus",
|
|
|
|
|
"tags": "LLM,CHAT,IMAGE2TEXT",
|
|
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|
|
"max_tokens": 765,
|
2025-03-26 17:31:18 +08:00
|
|
|
"model_type": "image2text",
|
|
|
|
|
"is_tools": false
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{
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"llm_name": "bge-large-zh-v1.5",
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|
|
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"tags": "TEXT EMBEDDING,TEXT RE-RANK",
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"max_tokens": 1024,
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"model_type": "embedding",
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},
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{
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"llm_name": "bge-small-zh-v1.5",
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"tags": "TEXT EMBEDDING,TEXT RE-RANK",
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"max_tokens": 512,
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"model_type": "embedding",
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"is_tools": false
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},
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{
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"llm_name": "nomic-embed-code",
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"tags": "TEXT EMBEDDING,TEXT RE-RANK",
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"max_tokens": 512,
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"model_type": "embedding",
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"is_tools": false
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},
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{
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"llm_name": "all-mpnet-base-v2",
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"tags": "TEXT EMBEDDING,TEXT RE-RANK",
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"max_tokens": 512,
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"model_type": "embedding",
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"is_tools": false
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}
|
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]
|
|
|
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},
|
2024-09-02 12:06:41 +08:00
|
|
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{
|
|
|
|
|
"name": "Google Cloud",
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"logo": "",
|
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"tags": "LLM",
|
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"status": "1",
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|
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"llm": []
|
2024-09-27 19:15:38 +08:00
|
|
|
},
|
|
|
|
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{
|
2024-11-05 13:58:29 +08:00
|
|
|
"name": "HuggingFace",
|
|
|
|
|
"logo": "",
|
2025-03-06 10:44:04 +08:00
|
|
|
"tags": "TEXT EMBEDDING,TEXT RE-RANK",
|
2024-11-05 13:58:29 +08:00
|
|
|
"status": "1",
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2025-11-12 09:38:06 +08:00
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|
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"rank": "920",
|
2024-11-05 13:58:29 +08:00
|
|
|
"llm": []
|
2025-01-15 14:15:58 +08:00
|
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},
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{
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"name": "GPUStack",
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"logo": "",
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"tags": "LLM,TEXT EMBEDDING,TTS,SPEECH2TEXT,TEXT RE-RANK",
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"status": "1",
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"llm": []
|
2025-07-23 18:10:35 +08:00
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},
|
|
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{
|
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|
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"name": "DeepInfra",
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"logo": "",
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"tags": "LLM,TEXT EMBEDDING,TTS,SPEECH2TEXT,MODERATION",
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"status": "1",
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"llm": [
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{
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"llm_name": "moonshotai/Kimi-K2-Instruct",
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"tags": "LLM,CHAT",
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"model_type": "chat"
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},
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{
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"llm_name": "mistralai/Voxtral-Small-24B-2507",
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"tags": "SPEECH2TEXT",
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"model_type": "speech2text"
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},
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{
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"llm_name": "mistralai/Voxtral-Mini-3B-2507",
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"tags": "SPEECH2TEXT",
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"model_type": "speech2text"
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},
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{
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"llm_name": "deepseek-ai/DeepSeek-R1-0528-Turbo",
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"tags": "LLM,CHAT",
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"model_type": "chat"
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},
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{
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"llm_name": "Qwen/Qwen3-235B-A22B",
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"tags": "LLM,CHAT",
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"model_type": "chat"
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},
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{
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"llm_name": "Qwen/Qwen3-30B-A3B",
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"tags": "LLM,CHAT",
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"model_type": "chat"
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},
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{
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"llm_name": "Qwen/Qwen3-32B",
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"tags": "LLM,CHAT",
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"model_type": "chat"
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},
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{
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{
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"tags": "LLM,CHAT",
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},
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{
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"llm_name": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-Turbo",
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"llm_name": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
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{
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"llm_name": "meta-llama/Llama-4-Scout-17B-16E-Instruct",
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"tags": "LLM,CHAT",
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"model_type": "chat"
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{
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"llm_name": "deepseek-ai/DeepSeek-R1-0528",
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{
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"llm_name": "deepseek-ai/DeepSeek-V3-0324",
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{
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"llm_name": "mistralai/Devstral-Small-2507",
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"tags": "LLM,CHAT",
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},
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{
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"tags": "LLM,CHAT",
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{
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{
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"model_type": "chat"
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{
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"llm_name": "anthropic/claude-4-opus",
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{
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"llm_name": "anthropic/claude-4-sonnet",
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{
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{
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{
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{
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"tags": "LLM,CHAT",
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{
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{
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{
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"model_type": "tts"
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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|
{
|
|
|
|
|
"llm_name": "sentence-transformers/multi-qa-mpnet-base-dot-v1",
|
|
|
|
|
"tags": "TEXT EMBEDDING",
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "sentence-transformers/paraphrase-MiniLM-L6-v2",
|
|
|
|
|
"tags": "TEXT EMBEDDING",
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "shibing624/text2vec-base-chinese",
|
|
|
|
|
"tags": "TEXT EMBEDDING",
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "thenlper/gte-base",
|
|
|
|
|
"tags": "TEXT EMBEDDING",
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "thenlper/gte-large",
|
|
|
|
|
"tags": "TEXT EMBEDDING",
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
}
|
|
|
|
|
]
|
2025-07-31 14:48:30 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "302.AI",
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|
|
|
"logo": "",
|
|
|
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|
"tags": "LLM,TEXT EMBEDDING,TEXT RE-RANK,IMAGE2TEXT",
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|
|
"status": "1",
|
|
|
|
|
"llm": [
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-chat",
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|
|
|
|
"tags": "LLM,CHAT",
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|
|
|
"max_tokens": 32000,
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|
|
"model_type": "chat",
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|
|
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|
"is_tools": true
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|
},
|
|
|
|
|
{
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|
|
|
"llm_name": "gpt-4o",
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|
|
|
"tags": "LLM,CHAT,128k",
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|
|
|
|
"max_tokens": 128000,
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|
|
|
"model_type": "chat",
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|
|
"is_tools": true
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},
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|
|
|
|
{
|
|
|
|
|
"llm_name": "chatgpt-4o-latest",
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|
|
|
|
"tags": "LLM,CHAT,128k",
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|
|
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|
"max_tokens": 128000,
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|
"model_type": "chat",
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|
"is_tools": true
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},
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|
|
|
|
{
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|
|
|
|
"llm_name": "llama3.3-70b",
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|
|
"tags": "LLM,CHAT,128k",
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|
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|
"max_tokens": 128000,
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|
"model_type": "chat",
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|
|
"is_tools": true
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|
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|
},
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|
|
|
{
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|
|
|
|
"llm_name": "deepseek-reasoner",
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|
|
|
|
"tags": "LLM,CHAT,64k",
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|
|
|
|
"max_tokens": 64000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gemini-2.0-flash",
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|
"tags": "LLM,CHAT",
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|
"max_tokens": 1000000,
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"model_type": "image2text",
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"is_tools": true
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},
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{
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"llm_name": "claude-3-7-sonnet-20250219",
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"tags": "LLM,CHAT",
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"max_tokens": 200000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "claude-3-7-sonnet-latest",
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|
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|
|
"tags": "LLM,CHAT",
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|
"max_tokens": 200000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "grok-3-beta",
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"tags": "LLM,CHAT",
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"max_tokens": 131072,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "grok-3-mini-beta",
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"tags": "LLM,CHAT",
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"max_tokens": 131072,
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|
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"model_type": "chat",
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|
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"is_tools": true
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},
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{
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|
"llm_name": "gpt-4.1",
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|
|
"tags": "LLM,CHAT",
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"max_tokens": 1000000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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|
|
"llm_name": "o3",
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|
|
"tags": "LLM,CHAT",
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|
"max_tokens": 200000,
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"model_type": "chat",
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|
"is_tools": true
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|
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},
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{
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"llm_name": "o4-mini",
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|
"tags": "LLM,CHAT",
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"max_tokens": 200000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "qwen3-235b-a22b",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": false
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},
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{
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"llm_name": "qwen3-32b",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": false
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},
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|
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{
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|
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"llm_name": "gemini-2.5-pro-preview-05-06",
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|
|
"tags": "LLM,CHAT",
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|
|
"max_tokens": 1000000,
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"model_type": "chat",
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|
|
"is_tools": true
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},
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|
|
{
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|
|
"llm_name": "llama-4-maverick",
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|
|
"tags": "LLM,CHAT,128k",
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|
|
"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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|
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{
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|
|
"llm_name": "gemini-2.5-flash",
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|
|
"tags": "LLM,CHAT",
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|
|
"max_tokens": 1000000,
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|
|
"model_type": "chat",
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|
|
|
"is_tools": true
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|
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|
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},
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|
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{
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|
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|
|
"llm_name": "claude-sonnet-4-20250514",
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|
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|
|
"tags": "LLM,CHAT",
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|
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|
|
"max_tokens": 200000,
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|
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"model_type": "chat",
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"is_tools": true
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|
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},
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{
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|
|
|
"llm_name": "claude-opus-4-20250514",
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|
|
"tags": "LLM,CHAT",
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|
"max_tokens": 200000,
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|
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"model_type": "image2text",
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|
|
"is_tools": true
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},
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|
|
|
{
|
|
|
|
|
"llm_name": "gemini-2.5-pro",
|
|
|
|
|
"tags": "LLM,CHAT",
|
|
|
|
|
"max_tokens": 1000000,
|
|
|
|
|
"model_type": "image2text",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "jina-clip-v2",
|
|
|
|
|
"tags": "TEXT EMBEDDING,TEXT RE-RANK",
|
|
|
|
|
"max_tokens": 8192,
|
|
|
|
|
"model_type": "embedding",
|
|
|
|
|
"is_tools": false
|
|
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|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "jina-reranker-m0",
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|
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|
|
"tags": "TEXT EMBEDDING,TEXT RE-RANK",
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|
"max_tokens": 10240,
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|
|
"model_type": "rerank",
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|
|
"is_tools": false
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|
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}
|
|
|
|
|
]
|
2025-09-08 19:00:52 +08:00
|
|
|
},
|
2025-09-18 09:51:29 +08:00
|
|
|
{
|
|
|
|
|
"name": "CometAPI",
|
|
|
|
|
"logo": "",
|
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|
|
"tags": "LLM,TEXT EMBEDDING,IMAGE2TEXT",
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|
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"status": "1",
|
|
|
|
|
"llm": [
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|
|
|
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{
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|
|
|
|
"llm_name": "gpt-5-chat-latest",
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|
|
|
|
"tags": "LLM,CHAT,400k",
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|
|
|
|
"max_tokens": 400000,
|
|
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|
|
"model_type": "chat",
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|
|
|
|
"is_tools": true
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|
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|
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},
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|
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{
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|
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"llm_name": "chatgpt-4o-latest",
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"tags": "LLM,CHAT,128k",
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"max_tokens": 128000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gpt-5-mini",
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"tags": "LLM,CHAT,400k",
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"max_tokens": 400000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gpt-5-nano",
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|
"tags": "LLM,CHAT,400k",
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|
"max_tokens": 400000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gpt-5",
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"tags": "LLM,CHAT,400k",
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"max_tokens": 400000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gpt-4.1-mini",
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"tags": "LLM,CHAT,1M",
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "gpt-4.1-nano",
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"tags": "LLM,CHAT,1M",
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},
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{
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"llm_name": "gpt-4.1",
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"tags": "LLM,CHAT,1M",
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},
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{
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"llm_name": "gpt-4o-mini",
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},
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{
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"llm_name": "o4-mini-2025-04-16",
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"tags": "LLM,CHAT,200k",
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"model_type": "chat",
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"is_tools": true
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},
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{
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"llm_name": "o3-pro-2025-06-10",
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"tags": "LLM,CHAT,200k",
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},
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{
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"llm_name": "claude-opus-4-1-20250805",
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"tags": "LLM,CHAT,200k,IMAGE2TEXT",
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"model_type": "image2text",
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},
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{
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"llm_name": "claude-opus-4-1-20250805-thinking",
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"tags": "LLM,CHAT,200k,IMAGE2TEXT",
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"max_tokens": 200000,
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"model_type": "image2text",
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"is_tools": true
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},
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{
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|
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"llm_name": "claude-sonnet-4-20250514",
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"tags": "LLM,CHAT,200k,IMAGE2TEXT",
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"model_type": "image2text",
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},
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{
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|
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"llm_name": "claude-sonnet-4-20250514-thinking",
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|
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"tags": "LLM,CHAT,200k,IMAGE2TEXT",
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"max_tokens": 200000,
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"model_type": "image2text",
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"is_tools": true
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},
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{
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|
|
"llm_name": "claude-3-7-sonnet-latest",
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|
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"tags": "LLM,CHAT,200k",
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"max_tokens": 200000,
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"model_type": "chat",
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|
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"is_tools": true
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},
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|
|
{
|
|
|
|
|
"llm_name": "claude-3-5-haiku-latest",
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|
|
"tags": "LLM,CHAT,200k",
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|
|
"max_tokens": 200000,
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"model_type": "chat",
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"is_tools": true
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},
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{
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|
|
"llm_name": "gemini-2.5-pro",
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|
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"tags": "LLM,CHAT,1M,IMAGE2TEXT",
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"model_type": "image2text",
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},
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|
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{
|
|
|
|
|
"llm_name": "gemini-2.5-flash",
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2025-09-08 19:00:52 +08:00
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2025-11-11 16:58:47 +08:00
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2025-09-08 19:00:52 +08:00
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2025-11-12 09:38:06 +08:00
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2025-09-08 19:00:52 +08:00
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2025-09-30 12:04:14 +08:00
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2025-09-08 19:00:52 +08:00
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2025-10-09 11:14:49 +08:00
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]
|
2025-11-17 19:47:46 +08:00
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2025-11-19 19:10:45 +08:00
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2025-11-17 19:47:46 +08:00
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"llm_name": "qwen/qwen3-next-80b-a3b-thinking",
|
|
|
|
|
"tags": "LLM,CHAT,65K",
|
|
|
|
|
"max_tokens": 65536,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "sao10k/l3-70b-euryale-v2.1",
|
|
|
|
|
"tags": "LLM,CHAT,8K",
|
|
|
|
|
"max_tokens": 8192,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "sao10k/l3-8b-lunaris",
|
|
|
|
|
"tags": "LLM,CHAT,8K",
|
|
|
|
|
"max_tokens": 8192,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "sao10k/l31-70b-euryale-v2.2",
|
|
|
|
|
"tags": "LLM,CHAT,8K",
|
|
|
|
|
"max_tokens": 8192,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "thudm/glm-4.1v-9b-thinking",
|
|
|
|
|
"tags": "LLM,CHAT,65K",
|
|
|
|
|
"max_tokens": 65536,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "zai-org/glm-4.5",
|
|
|
|
|
"tags": "LLM,CHAT,131K",
|
|
|
|
|
"max_tokens": 131072,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "zai-org/glm-4.5v",
|
|
|
|
|
"tags": "LLM,CHAT,65K",
|
|
|
|
|
"max_tokens": 65536,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "baai/bge-m3",
|
|
|
|
|
"tags": "TEXT EMBEDDING,8K",
|
|
|
|
|
"max_tokens": 8192,
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwen/qwen3-embedding-0.6b",
|
|
|
|
|
"tags": "TEXT EMBEDDING,32K",
|
|
|
|
|
"max_tokens": 32768,
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwen/qwen3-embedding-8b",
|
|
|
|
|
"tags": "TEXT EMBEDDING,32K",
|
|
|
|
|
"max_tokens": 32768,
|
|
|
|
|
"model_type": "embedding"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "baai/bge-reranker-v2-m3",
|
|
|
|
|
"tags": "RE-RANK,8K",
|
|
|
|
|
"max_tokens": 8000,
|
|
|
|
|
"model_type": "reranker"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "qwen/qwen3-reranker-8b",
|
|
|
|
|
"tags": "RE-RANK,32K",
|
|
|
|
|
"max_tokens": 32768,
|
|
|
|
|
"model_type": "reranker"
|
|
|
|
|
}
|
|
|
|
|
]
|
2025-12-09 18:54:14 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "MinerU",
|
|
|
|
|
"logo": "",
|
|
|
|
|
"tags": "OCR",
|
|
|
|
|
"status": "1",
|
|
|
|
|
"rank": "900",
|
|
|
|
|
"llm": []
|
2026-01-09 17:48:45 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "PaddleOCR",
|
|
|
|
|
"logo": "",
|
|
|
|
|
"tags": "OCR",
|
|
|
|
|
"status": "1",
|
|
|
|
|
"rank": "910",
|
|
|
|
|
"llm": []
|
2026-01-19 13:12:42 +08:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "n1n",
|
|
|
|
|
"logo": "",
|
|
|
|
|
"tags": "LLM",
|
|
|
|
|
"status": "1",
|
|
|
|
|
"rank": "900",
|
|
|
|
|
"llm": [
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "gpt-4o-mini",
|
|
|
|
|
"tags": "LLM,CHAT,128K,IMAGE2TEXT",
|
|
|
|
|
"max_tokens": 128000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "gpt-4o",
|
|
|
|
|
"tags": "LLM,CHAT,128K,IMAGE2TEXT",
|
|
|
|
|
"max_tokens": 128000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "gpt-3.5-turbo",
|
|
|
|
|
"tags": "LLM,CHAT,4K",
|
|
|
|
|
"max_tokens": 4096,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": false
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek-chat",
|
|
|
|
|
"tags": "LLM,CHAT,128K",
|
|
|
|
|
"max_tokens": 128000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
}
|
|
|
|
|
]
|
feat: Add Avian as an LLM provider (#13256)
### What problem does this PR solve?
This PR adds [Avian](https://avian.io) as a new LLM provider to RAGFlow.
Avian provides an OpenAI-compatible API with competitive pricing,
offering access to models like DeepSeek V3.2, Kimi K2.5, GLM-5, and
MiniMax M2.5.
**Provider details:**
- API Base URL: `https://api.avian.io/v1`
- Auth: Bearer token via API key
- OpenAI-compatible (chat completions, streaming, function calling)
- Models:
- `deepseek/deepseek-v3.2` — 164K context, $0.26/$0.38 per 1M tokens
- `moonshotai/kimi-k2.5` — 131K context, $0.45/$2.20 per 1M tokens
- `z-ai/glm-5` — 131K context, $0.30/$2.55 per 1M tokens
- `minimax/minimax-m2.5` — 1M context, $0.30/$1.10 per 1M tokens
**Changes:**
- `rag/llm/chat_model.py` — Add `AvianChat` class extending `Base`
- `rag/llm/__init__.py` — Register in `SupportedLiteLLMProvider`,
`FACTORY_DEFAULT_BASE_URL`, `LITELLM_PROVIDER_PREFIX`
- `conf/llm_factories.json` — Add Avian factory with model definitions
- `web/src/constants/llm.ts` — Add to `LLMFactory` enum, `IconMap`,
`APIMapUrl`
- `web/src/components/svg-icon.tsx` — Register SVG icon
- `web/src/assets/svg/llm/avian.svg` — Provider icon
- `docs/references/supported_models.mdx` — Add to supported models table
This follows the same pattern as other OpenAI-compatible providers
(e.g., n1n #12680, TokenPony).
cc @KevinHuSh @JinHai-CN
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
2026-02-27 09:36:55 +00:00
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "Avian",
|
|
|
|
|
"logo": "",
|
|
|
|
|
"tags": "LLM",
|
|
|
|
|
"status": "1",
|
|
|
|
|
"llm": [
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "deepseek/deepseek-v3.2",
|
|
|
|
|
"tags": "LLM,CHAT,164K",
|
|
|
|
|
"max_tokens": 164000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "moonshotai/kimi-k2.5",
|
|
|
|
|
"tags": "LLM,CHAT,131K",
|
|
|
|
|
"max_tokens": 131000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "z-ai/glm-5",
|
|
|
|
|
"tags": "LLM,CHAT,131K",
|
|
|
|
|
"max_tokens": 131000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"llm_name": "minimax/minimax-m2.5",
|
|
|
|
|
"tags": "LLM,CHAT,1M",
|
|
|
|
|
"max_tokens": 1000000,
|
|
|
|
|
"model_type": "chat",
|
|
|
|
|
"is_tools": true
|
|
|
|
|
}
|
|
|
|
|
]
|
2024-11-05 13:58:29 +08:00
|
|
|
}
|
2024-07-16 15:19:43 +08:00
|
|
|
]
|
2026-01-28 12:41:20 +08:00
|
|
|
}
|