chunzhi/chatgpt_academic
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Merge branch 'master' of https://github.com/fenglui/gpt_academic into fenglui-master

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binary-husky 2023-07-24 18:06:15 +08:00
commit dd4ba0ea22
2 changed files with 8 additions and 3 deletions
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1
config.py
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@ -80,6 +80,7 @@ ChatGLM_PTUNING_CHECKPOINT = "" # 例如"/home/hmp/ChatGLM2-6B/ptuning/output/6b
# 本地LLM模型如ChatGLM的执行方式 CPU/GPU
LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda"
LOCAL_MODEL_QUANT = "INT4" # 默认 "" "INT4" 启用量化INT4版本 "INT8" 启用量化INT8版本
# 设置gradio的并行线程数（不需要修改）

10
request_llm/bridge_chatglm.py
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@ -37,15 +37,19 @@ class GetGLMHandle(Process):
# 子进程执行
# 第一次运行，加载参数
retry = 0
pretrained_model_name_or_path = "THUDM/chatglm2-6b"
LOCAL_MODEL_QUANT = get_conf('LOCAL_MODEL_QUANT')
if LOCAL_MODEL_QUANT and len(LOCAL_MODEL_QUANT) > 0 and LOCAL_MODEL_QUANT[0] == "INT4":
pretrained_model_name_or_path = "THUDM/chatglm2-6b-int4"
while True:
try:
if self.chatglm_model is None:
self.chatglm_tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True)
self.chatglm_tokenizer = AutoTokenizer.from_pretrained(pretrained_model_name_or_path, trust_remote_code=True)
device, = get_conf('LOCAL_MODEL_DEVICE')
if device=='cpu':
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).float()
self.chatglm_model = AutoModel.from_pretrained(pretrained_model_name_or_path, trust_remote_code=True).float()
else:
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).half().cuda()
self.chatglm_model = AutoModel.from_pretrained(pretrained_model_name_or_path, trust_remote_code=True).half().cuda()
self.chatglm_model = self.chatglm_model.eval()
break
else: