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support qwen2.5-max!

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binary-husky
2025-01-29 21:30:54 +08:00
parent 722a055879
commit 6a6eba5f16
2 changed files with 29 additions and 10 deletions
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32
request_llms/bridge_all.py
View File

@@ -812,7 +812,8 @@ if "qwen-local" in AVAIL_LLM_MODELS:
except:
logger.error(trimmed_format_exc())
# -=-=-=-=-=-=- 通义-在线模型 -=-=-=-=-=-=-
if "qwen-turbo" in AVAIL_LLM_MODELS or "qwen-plus" in AVAIL_LLM_MODELS or "qwen-max" in AVAIL_LLM_MODELS: # zhipuai
qwen_models = ["qwen-max-latest", "qwen-max-2025-01-25","qwen-max","qwen-turbo","qwen-plus"]
if any(item in qwen_models for item in AVAIL_LLM_MODELS):
try:
from .bridge_qwen import predict_no_ui_long_connection as qwen_noui
from .bridge_qwen import predict as qwen_ui
@@ -822,7 +823,7 @@ if "qwen-turbo" in AVAIL_LLM_MODELS or "qwen-plus" in AVAIL_LLM_MODELS or "qwen-
"fn_without_ui": qwen_noui,
"can_multi_thread": True,
"endpoint": None,
"max_token": 6144,
"max_token": 100000,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
@@ -831,7 +832,7 @@ if "qwen-turbo" in AVAIL_LLM_MODELS or "qwen-plus" in AVAIL_LLM_MODELS or "qwen-
"fn_without_ui": qwen_noui,
"can_multi_thread": True,
"endpoint": None,
"max_token": 30720,
"max_token": 129024,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
@@ -840,7 +841,25 @@ if "qwen-turbo" in AVAIL_LLM_MODELS or "qwen-plus" in AVAIL_LLM_MODELS or "qwen-
"fn_without_ui": qwen_noui,
"can_multi_thread": True,
"endpoint": None,
"max_token": 28672,
"max_token": 30720,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
"qwen-max-latest": {
"fn_with_ui": qwen_ui,
"fn_without_ui": qwen_noui,
"can_multi_thread": True,
"endpoint": None,
"max_token": 30720,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
"qwen-max-2025-01-25": {
"fn_with_ui": qwen_ui,
"fn_without_ui": qwen_noui,
"can_multi_thread": True,
"endpoint": None,
"max_token": 30720,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
}
@@ -1362,6 +1381,11 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot,
inputs = apply_gpt_academic_string_mask(inputs, mode="show_llm")
if llm_kwargs['llm_model'] not in model_info:
from toolbox import update_ui
chatbot.append([inputs, f"很抱歉，模型 '{llm_kwargs['llm_model']}' 暂不支持<br/>(1) 检查config中的AVAIL_LLM_MODELS选项<br/>(2) 检查request_llms/bridge_all.py中的模型路由"])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
method = model_info[llm_kwargs['llm_model']]["fn_with_ui"] # 如果这里报错，检查config中的AVAIL_LLM_MODELS选项
if additional_fn: # 根据基础功能区 ModelOverride 参数调整模型类型

7
request_llms/com_qwenapi.py
View File

@@ -24,18 +24,13 @@ class QwenRequestInstance():
def generate(self, inputs, llm_kwargs, history, system_prompt):
# import _thread as thread
from dashscope import Generation
QWEN_MODEL = {
'qwen-turbo': Generation.Models.qwen_turbo,
'qwen-plus': Generation.Models.qwen_plus,
'qwen-max': Generation.Models.qwen_max,
}[llm_kwargs['llm_model']]
top_p = llm_kwargs.get('top_p', 0.8)
if top_p == 0: top_p += 1e-5
if top_p == 1: top_p -= 1e-5
self.result_buf = ""
responses = Generation.call(
model=QWEN_MODEL,
model=llm_kwargs['llm_model'],
messages=generate_message_payload(inputs, llm_kwargs, history, system_prompt),
top_p=top_p,
temperature=llm_kwargs.get('temperature', 1.0),