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Added support for Baichuan LLM (#934)
### What problem does this PR solve? - Added support for Baichuan LLM ### Type of change - [x] New Feature (non-breaking change which adds functionality) Co-authored-by: 海贼宅 <stu_xyx@163.com>
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yungongzi
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9ffd7ae321
@ -137,7 +137,12 @@ factory_infos = [{
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"logo": "",
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"tags": "LLM, TEXT EMBEDDING",
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"status": "1",
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}
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},{
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"name": "BaiChuan",
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"logo": "",
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"tags": "LLM,TEXT EMBEDDING",
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"status": "1",
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},
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# {
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# "name": "文心一言",
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# "logo": "",
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@ -392,6 +397,49 @@ def init_llm_factory():
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"max_tokens": 4096,
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"model_type": LLMType.CHAT.value
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},
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# ------------------------ BaiChuan -----------------------
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{
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"fid": factory_infos[10]["name"],
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"llm_name": "Baichuan2-Turbo",
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"tags": "LLM,CHAT,32K",
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"max_tokens": 32768,
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"model_type": LLMType.CHAT.value
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},
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{
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"fid": factory_infos[10]["name"],
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"llm_name": "Baichuan2-Turbo-192k",
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"tags": "LLM,CHAT,192K",
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"max_tokens": 196608,
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"model_type": LLMType.CHAT.value
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},
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{
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"fid": factory_infos[10]["name"],
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"llm_name": "Baichuan3-Turbo",
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"tags": "LLM,CHAT,32K",
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"max_tokens": 32768,
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"model_type": LLMType.CHAT.value
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},
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{
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"fid": factory_infos[10]["name"],
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"llm_name": "Baichuan3-Turbo-128k",
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"tags": "LLM,CHAT,128K",
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"max_tokens": 131072,
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"model_type": LLMType.CHAT.value
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},
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{
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"fid": factory_infos[10]["name"],
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"llm_name": "Baichuan4",
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"tags": "LLM,CHAT,128K",
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"max_tokens": 131072,
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"model_type": LLMType.CHAT.value
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},
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{
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"fid": factory_infos[10]["name"],
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"llm_name": "Baichuan-Text-Embedding",
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"tags": "TEXT EMBEDDING",
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"max_tokens": 512,
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"model_type": LLMType.EMBEDDING.value
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},
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]
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for info in factory_infos:
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try:
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@ -26,7 +26,8 @@ EmbeddingModel = {
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"ZHIPU-AI": ZhipuEmbed,
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"FastEmbed": FastEmbed,
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"Youdao": YoudaoEmbed,
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"DeepSeek": DefaultEmbedding
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"DeepSeek": DefaultEmbedding,
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"BaiChuan": BaiChuanEmbed
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}
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@ -47,6 +48,7 @@ ChatModel = {
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"Ollama": OllamaChat,
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"Xinference": XinferenceChat,
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"Moonshot": MoonshotChat,
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"DeepSeek": DeepSeekChat
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"DeepSeek": DeepSeekChat,
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"BaiChuan": BaiChuanChat
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}
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@ -95,6 +95,84 @@ class DeepSeekChat(Base):
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super().__init__(key, model_name, base_url)
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class BaiChuanChat(Base):
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def __init__(self, key, model_name="Baichuan3-Turbo", base_url="https://api.baichuan-ai.com/v1"):
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if not base_url:
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base_url = "https://api.baichuan-ai.com/v1"
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super().__init__(key, model_name, base_url)
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@staticmethod
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def _format_params(params):
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return {
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"temperature": params.get("temperature", 0.3),
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"max_tokens": params.get("max_tokens", 2048),
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"top_p": params.get("top_p", 0.85),
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}
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def chat(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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try:
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=history,
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extra_body={
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"tools": [{
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"type": "web_search",
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"web_search": {
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"enable": True,
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"search_mode": "performance_first"
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}
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}]
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},
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**self._format_params(gen_conf))
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ans = response.choices[0].message.content.strip()
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if response.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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return ans, response.usage.total_tokens
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except openai.APIError as e:
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return "**ERROR**: " + str(e), 0
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def chat_streamly(self, system, history, gen_conf):
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if system:
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history.insert(0, {"role": "system", "content": system})
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ans = ""
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total_tokens = 0
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try:
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=history,
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extra_body={
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"tools": [{
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"type": "web_search",
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"web_search": {
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"enable": True,
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"search_mode": "performance_first"
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}
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}]
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},
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stream=True,
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**self._format_params(gen_conf))
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for resp in response:
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if resp.choices[0].finish_reason == "stop":
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if not resp.choices[0].delta.content:
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continue
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total_tokens = resp.usage.get('total_tokens', 0)
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if not resp.choices[0].delta.content:
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continue
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ans += resp.choices[0].delta.content
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if resp.choices[0].finish_reason == "length":
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ans += "...\nFor the content length reason, it stopped, continue?" if is_english(
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[ans]) else "······\n由于长度的原因，回答被截断了，要继续吗？"
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yield ans
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except Exception as e:
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yield ans + "\n**ERROR**: " + str(e)
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yield total_tokens
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class QWenChat(Base):
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def __init__(self, key, model_name=Generation.Models.qwen_turbo, **kwargs):
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import dashscope
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@ -104,6 +104,15 @@ class OpenAIEmbed(Base):
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return np.array(res.data[0].embedding), res.usage.total_tokens
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class BaiChuanEmbed(OpenAIEmbed):
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def __init__(self, key,
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model_name='Baichuan-Text-Embedding',
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base_url='https://api.baichuan-ai.com/v1'):
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if not base_url:
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base_url = "https://api.baichuan-ai.com/v1"
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super().__init__(key, model_name, base_url)
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class QWenEmbed(Base):
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def __init__(self, key, model_name="text_embedding_v2", **kwargs):
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dashscope.api_key = key
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28
web/src/assets/svg/llm/baichuan.svg
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28
web/src/assets/svg/llm/baichuan.svg
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@ -0,0 +1,28 @@
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<?xml version="1.0" encoding="UTF-8" standalone="no"?>
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<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
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<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" width="256px" height="256px" viewBox="0 0 256 256" enable-background="new 0 0 256 256" xml:space="preserve"> <image id="image0" width="256" height="256" x="0" y="0"
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xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAMAAABrrFhUAAAAIGNIUk0AAHolAACAgwAA+f8AAIDp
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AAB1MAAA6mAAADqYAAAXb5JfxUYAAACuUExURf////349fzy7/77+f349fzy7//+/fXOv/bTxf//
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/+2njfjg1u+xmfG6pumXd/jg1uaDXv349fLArfPIt++xmfvv6u6tlP77+frp4uqbfeaIZPPEsvC2
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n/LArf////LCr/////G6pvLCr++xmfC2n/zy7/fXyu2njeiPbf318fnl3eudfvG+quykif/////+
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/eBnOeN2TON3TuJ0SuFvROFqPeN5UOV+V+R8VP///3/zEGYAAAAwdFJOUwA+RTlbYVqZk1i/Y7yt
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4YH5Yquhv27DXnbb86W1plCpJZiOq7lojcvrZnrZrc8yNOA7KFcAAAABYktHRACIBR1IAAAACXBI
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WXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH6AUbBTg4QG2qLwAAAyhJREFUeNrt3dlS2zAUgGHaUjvq
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ljht4pB0oy3ZoDTgLH3/JytThinjWNJxhwmco/+/RkL6RngSc6GjIyIiIiIiIiIiIiIiIiIiIiIi
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IiIiIiIiIvq/nj0X9qI28PilsOPH2FaWe+q42k++Wgl7XRv4Rjrw7WMAdHyruUoDwL1LHKDrXU0a
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AFkvbQCX+1eTBEBxnThAP7CaFABcL20A9z60mgQAiiptAPchuBr7AIN12gBuGF6NeYCyCq/GOkDk
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CWAfYLRJG8CdxFZjHKAbXY1tgPgBMA4wiD0BjAP4X4QlAtARrMYyQPBrcAoAuWQ1hgHcOHGA+GcA
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2wBlL22A8IuwBACKSrYaswDCA2AWIPDPsCQA3ES6mocD+FgJ+3QAgHJ7eIDP4g4AIH0CPCTAk+oL
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AAAAAAAAAAAAwAEBvoozCnC6FfbNKMB36cBTAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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AAAAAAAAAAAAAAAAgP3cDzHAziTA2Vq6mFXfIkCLA3Bd1gdbAMjEtwusJvUDYAFAesHMTbtsb7QB
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gLMrMcB07wAYAHAz8f7n+/s3ACC4ZfGuvGG4eoDYTcv3GmcN49UDLOSfAZZN47UDRG9a/te5a5pA
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O8BS/ARYDxonUA7g5uIDMGw8ANoBZLcs/m3UPINuAHcu3v+s+QAoBxiJ918VnilUAwiu2r7rwnMA
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VAO4qXj/u9I3iWaA7LcYYOI7AKoBJFdt3zYvvJMoBmjxGWDqn0UxQIsD4Pyz6AUQ3bV+WzcwjVoA
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1xfv/2fgAOgFkH8NXhehebQCtDgAs9ABUAtQ7qS/fzMKTqQUwF2ID8AweAC0AkjvWr95AizCM+kE
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aPEqfBI+AEoB5F+De5H96wRo8Sa0H5tLJcBC/ATYFrG5NAK0eALksb8AnQDiV+Hj6P51Akh/9WYZ
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n8w0wEn8AOgEWApbCCa7/CXssjbwSd07TEREREREREREREREREREREREREREevoDtKBqvEP0IEYA
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AAAldEVYdGRhdGU6Y3JlYXRlADIwMjQtMDUtMjdUMDU6NTY6NTYrMDA6MDANJESyAAAAJXRFWHRk
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YXRlOm1vZGlmeQAyMDI0LTA1LTI3VDA1OjU2OjU2KzAwOjAwfHn8DgAAACh0RVh0ZGF0ZTp0aW1l
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c3RhbXAAMjAyNC0wNS0yN1QwNTo1Njo1NiswMDowMCts3dEAAAAASUVORK5CYII=" />
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</svg>
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After Width: | Height: | Size: 2.3 KiB |
@ -55,6 +55,7 @@ const IconMap = {
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Xinference: 'xinference',
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DeepSeek: 'deepseek',
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VolcEngine: 'volc_engine',
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BaiChuan: 'baichuan',
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};
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const LlmIcon = ({ name }: { name: string }) => {
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