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reverse cmd_to_install

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binary-husky 2023-08-07 01:11:44 +08:00
parent 57d4541d4e
commit 0a37106692
2 changed files with 2 additions and 2 deletions
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2
config.py
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@ -70,7 +70,7 @@ MAX_RETRY = 2
# 模型选择是 (注意: LLM_MODEL是默认选中的模型, 它*必须*被包含在AVAIL_LLM_MODELS列表中 ) # 模型选择是 (注意: LLM_MODEL是默认选中的模型, 它*必须*被包含在AVAIL_LLM_MODELS列表中 )
LLM_MODEL = "gpt-3.5-turbo" # 可选 ↓↓↓ LLM_MODEL = "gpt-3.5-turbo" # 可选 ↓↓↓
AVAIL_LLM_MODELS = ["gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "internlm", "moss", "newbing", "stack-claude"] AVAIL_LLM_MODELS = ["gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "moss", "newbing", "stack-claude"]
# P.S. 其他可用的模型还包括 ["gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", "chatglm_onnx", "claude-1-100k", "claude-2", "internlm", "jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"] # P.S. 其他可用的模型还包括 ["gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", "chatglm_onnx", "claude-1-100k", "claude-2", "internlm", "jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]

2
request_llm/bridge_chatglmonnx.py
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@ -1,5 +1,5 @@
model_name = "ChatGLM-ONNX" model_name = "ChatGLM-ONNX"
cmd_to_install = "`pip install request_llm/requirements_chatglm.txt`" cmd_to_install = "`pip install request_llm/requirements_chatglm_onnx.txt`"
from transformers import AutoModel, AutoTokenizer from transformers import AutoModel, AutoTokenizer