Merge pull request #478 from sanbei011/master

补充AI部署文档:增加Qwen2-0.5B模型进行微调,可免费部署在Modelspace创空间

MemoAI/qwen2-0.5b/app.py

@@ -0,0 +1,186 @@
+import os
+import copy
+import random
+import threading
+import subprocess
+import gradio as gr
+from typing import List, Optional, Tuple, Dict
+
+
+os.system("pip uninstall -y tensorflow tensorflow-estimator tensorflow-io-gcs-filesystem")
+os.environ["LANG"] = "C"
+os.environ["LC_ALL"] = "C"
+
+default_system = '你是一个微信聊天机器人'
+
+from dashinfer.helper import EngineHelper, ConfigManager
+
+log_lock = threading.Lock()
+
+config_file = "di_config.json"
+config = ConfigManager.get_config_from_json(config_file)
+
+def download_model(model_id, revision, source="modelscope"):
+ print(f"Downloading model {model_id} (revision: {revision}) from {source}")
+ if source == "modelscope":
+ from modelscope import snapshot_download
+ model_dir = snapshot_download(model_id, revision=revision)
+ elif source == "huggingface":
+ from huggingface_hub import snapshot_download
+ model_dir = snapshot_download(repo_id=model_id)
+ else:
+ raise ValueError("Unknown source")
+
+ print(f"Save model to path {model_dir}")
+
+ return model_dir
+
+cmd = f"pip show dashinfer | grep 'Location' | cut -d ' ' -f 2"
+package_location = subprocess.run(cmd,
+ stdout=subprocess.PIPE,
+ stderr=subprocess.PIPE,
+ shell=True,
+ text=True)
+package_location = package_location.stdout.strip()
+os.environ["AS_DAEMON_PATH"] = package_location + "/dashinfer/allspark/bin"
+os.environ["AS_NUMA_NUM"] = str(len(config["device_ids"]))
+os.environ["AS_NUMA_OFFSET"] = str(config["device_ids"][0])
+
+## download original model
+## download model from modelscope
+original_model = {
+ "source": "modelscope",
+ "model_id": config["model_space"] + config["model_name"],
+ "revision": "master",
+ "model_path": ""
+}
+original_model["model_path"] = download_model(original_model["model_id"],
+ original_model["revision"],
+ original_model["source"])
+
+engine_helper = EngineHelper(config)
+engine_helper.verbose = True
+engine_helper.init_tokenizer(original_model["model_path"])
+
+## convert huggingface model to dashinfer model
+## only one conversion is required
+engine_helper.convert_model(original_model["model_path"])
+
+engine_helper.init_engine()
+engine_max_batch = engine_helper.engine_config["engine_max_batch"]
+
+###################################################
+
+History = List[Tuple[str, str]]
+Messages = List[Dict[str, str]]
+
+
+class Role:
+ USER = 'user'
+ SYSTEM = 'system'
+ BOT = 'bot'
+ ASSISTANT = 'assistant'
+ ATTACHMENT = 'attachment'
+
+
+def clear_session() -> History:
+ return '', []
+
+
+def modify_system_session(system: str) -> str:
+ if system is None or len(system) == 0:
+ system = default_system
+ return system, system, []
+
+
+def history_to_messages(history: History, system: str) -> Messages:
+ messages = [{'role': Role.SYSTEM, 'content': system}]
+ for h in history:
+ messages.append({'role': Role.USER, 'content': h[0]})
+ messages.append({'role': Role.ASSISTANT, 'content': h[1]})
+ return messages
+
+
+def messages_to_history(messages: Messages) -> Tuple[str, History]:
+ assert messages[0]['role'] == Role.SYSTEM
+ system = messages[0]['content']
+ history = []
+ for q, r in zip(messages[1::2], messages[2::2]):
+ history.append([q['content'], r['content']])
+ return system, history
+
+
+def message_to_prompt(messages: Messages) -> str:
+ prompt = ""
+ for item in messages:
+ im_start, im_end = "<|im_start|>", "<|im_end|>"
+ prompt += f"\n{im_start}{item['role']}\n{item['content']}{im_end}"
+ prompt += f"\n{im_start}assistant\n"
+ return prompt
+
+
+def model_chat(query: Optional[str], history: Optional[History],
+ system: str) -> Tuple[str, str, History]:
+ if query is None:
+ query = ''
+ if history is None:
+ history = []
+
+ messages = history_to_messages(history, system)
+ messages.append({'role': Role.USER, 'content': query})
+ prompt = message_to_prompt(messages)
+
+ gen_cfg = copy.deepcopy(engine_helper.default_gen_cfg)
+ gen_cfg["max_length"] = 1024
+ gen_cfg["seed"] = random.randint(0, 10000)
+
+ request_list = engine_helper.create_request([prompt], [gen_cfg])
+
+ request = request_list[0]
+ gen = engine_helper.process_one_request_stream(request)
+ for response in gen:
+ role = Role.ASSISTANT
+ system, history = messages_to_history(messages + [{'role': role, 'content': response}])
+ yield '', history, system
+
+ json_str = engine_helper.convert_request_to_jsonstr(request)
+ log_lock.acquire()
+ try:
+ print(f"{json_str}\n")
+ finally:
+ log_lock.release()
+
+###################################################
+
+with gr.Blocks() as demo:
+ demo_title = "<center>微信的你</center>"
+ gr.Markdown(demo_title)
+ with gr.Row():
+ with gr.Column(scale=3):
+ system_input = gr.Textbox(value=default_system,
+ lines=1,
+ label='System')
+ with gr.Column(scale=1):
+ modify_system = gr.Button("🛠️ Set system prompt and clear history.", scale=2)
+ system_state = gr.Textbox(value=default_system, visible=False)
+ chatbot = gr.Chatbot(label=config["model_name"])
+ textbox = gr.Textbox(lines=2, label='Input')
+
+ with gr.Row():
+ clear_history = gr.Button("🧹清除历史记录")
+ sumbit = gr.Button("🚀和我聊天!")
+
+ sumbit.click(model_chat,
+ inputs=[textbox, chatbot, system_state],
+ outputs=[textbox, chatbot, system_input],
+ concurrency_limit=engine_max_batch)
+ clear_history.click(fn=clear_session,
+ inputs=[],
+ outputs=[textbox, chatbot],
+ concurrency_limit=engine_max_batch)
+ modify_system.click(fn=modify_system_session,
+ inputs=[system_input],
+ outputs=[system_state, system_input, chatbot],
+ concurrency_limit=engine_max_batch)
+
+demo.queue(api_open=False).launch(height=800, share=False, server_name="127.0.0.1", server_port=7860)

MemoAI/qwen2-0.5b/di_config.json

@@ -0,0 +1,52 @@
+{
+ "model_space": "YOUR-NAME-SPACE",
+ "model_name": "YOUR-MODEL-NAME",
+ "model_type": "Qwen_v20",
+ "model_path": "./dashinfer_models/",
+ "data_type": "float32",
+ "device_type": "CPU",
+ "device_ids": [
+ 0
+ ],
+ "multinode_mode": false,
+ "engine_config": {
+ "engine_max_length": 1024,
+ "engine_max_batch": 2,
+ "do_profiling": false,
+ "num_threads": 0,
+ "matmul_precision": "medium"
+ },
+ "generation_config": {
+ "temperature": 0.7,
+ "early_stopping": true,
+ "top_k": 20,
+ "top_p": 0.8,
+ "repetition_penalty": 1.05,
+ "presence_penalty": 0.0,
+ "min_length": 0,
+ "max_length": 8192,
+ "no_repeat_ngram_size": 0,
+ "eos_token_id": 151643,
+ "seed": 1234,
+ "stop_words_ids": [
+ [
+ 151643
+ ],
+ [
+ 151644
+ ],
+ [
+ 151645
+ ]
+ ]
+ },
+ "convert_config": {
+ "do_dynamic_quantize_convert": false
+ },
+ "quantization_config": {
+ "activation_type": "bfloat16",
+ "weight_type": "uint8",
+ "SubChannel": true,
+ "GroupSize": 512
+ }
+}

MemoAI/qwen2-0.5b/requirements.txt

@@ -0,0 +1 @@
+dashinfer