Cluster Deployment
Install command line tools
All the following operations are completed through the dbgpt command. To use the dbgpt command, you first need to install the DB-GPT project. You can install it through the following command
$ pip install -e ".[default]"
It can also be used in script mode
$ python pilot/scripts/cli_scripts.py
Start Model Controller
$ dbgpt start controller
View log
$ docker logs db-gpt-webserver-1 -f
By default, Model Server will start on port 8000
Start Model Worker
提示
Start glm-4-9b-chat model Worker
dbgpt start worker --model_name glm-4-9b-chat \
--model_path /app/models/glm-4-9b-chat \
--port 8001 \
--controller_addr http://127.0.0.1:8000
提示
Start vicuna-13b-v1.5 model Worker
dbgpt start worker --model_name vicuna-13b-v1.5 \
--model_path /app/models/vicuna-13b-v1.5 \
--port 8002 \
--controller_addr http://127.0.0.1:8000
note
⚠️ Make sure to use your own model name and model path.
Start Embedding Model Worker
dbgpt start worker --model_name text2vec \
--model_path /app/models/text2vec-large-chinese \
--worker_type text2vec \
--port 8003 \
--controller_addr http://127.0.0.1:8000
note
⚠️ Make sure to use your own model name and model path.
Start Reranking Model Worker
dbgpt start worker --worker_type text2vec \
--rerank \
--model_path /app/models/bge-reranker-base \
--model_name bge-reranker-base \
--port 8004 \
--controller_addr http://127.0.0.1:8000
note
⚠️ Make sure to use your own model name and model path.
提示
View and inspect deployed models
$ dbgpt model list
+-------------------+------------+------------+------+---------+---------+-----------------+----------------------------+
| Model Name | Model Type | Host | Port | Healthy | Enabled | Prompt Template | Last Heartbeat |
+-------------------+------------+------------+------+---------+---------+-----------------+----------------------------+
| glm-4-9b-chat | llm | 172.17.0.2 | 8001 | True | True | | 2023-09-12T23:04:31.287654 |
| WorkerManager | service | 172.17.0.2 | 8001 | True | True | | 2023-09-12T23:04:31.286668 |
| WorkerManager | service | 172.17.0.2 | 8003 | True | True | | 2023-09-12T23:04:29.845617 |
| WorkerManager | service | 172.17.0.2 | 8002 | True | True | | 2023-09-12T23:04:24.598439 |
| WorkerManager | service | 172.21.0.5 | 8004 | True | True | | 2023-09-12T23:04:24.598439 |
| text2vec | text2vec | 172.17.0.2 | 8003 | True | True | | 2023-09-12T23:04:29.844796 |
| vicuna-13b-v1.5 | llm | 172.17.0.2 | 8002 | True | True | | 2023-09-12T23:04:24.597775 |
| bge-reranker-base | text2vec | 172.21.0.5 | 8004 | True | True | | 2024-05-15T11:36:12.935012 |
+-------------------+------------+------------+------+---------+---------+-----------------+----------------------------+
Use model serving
The model service deployed as above can be used through dbgpt_server. First modify the .env configuration file to change the connection model address
dbgpt start webserver --light
Start Webserver
LLM_MODEL=vicuna-13b-v1.5
# The current default MODEL_SERVER address is the address of the Model Controller
MODEL_SERVER=http://127.0.0.1:8000
--light means not to start the embedded model service.
Or it can be started directly by command to formulate the model.
LLM_MODEL=glm-4-9b-chat dbgpt start webserver --light --remote_embedding
Command line usage
For more information about the use of the command line, you can view the command line help. The following is a reference example.
提示
View dbgpt help dbgpt --help
dbgpt --help
Already connect 'dbgpt'
Usage: dbgpt [OPTIONS] COMMAND [ARGS]...
Options:
--log-level TEXT Log level
--version Show the version and exit.
--help Show this message and exit.
Commands:
install Install dependencies, plugins, etc.
knowledge Knowledge command line tool
model Clients that manage model serving
start Start specific server.
stop Start specific server.
trace Analyze and visualize trace spans.
提示
Check the dbgpt start command dbgpt start --help
dbgpt start --help
Already connect 'dbgpt'
Usage: dbgpt start [OPTIONS] COMMAND [ARGS]...
Start specific server.
Options:
--help Show this message and exit.
Commands:
apiserver Start apiserver
controller Start model controller
webserver Start webserver(dbgpt_server.py)
worker Start model worker
(dbgpt_env) magic@B-4TMH9N3X-2120 ~ %
提示
View the dbgpt start model service help command dbgpt start worker --help
dbgpt start worker --help
Already connect 'dbgpt'
Usage: dbgpt start worker [OPTIONS]
Start model worker
Options:
--model_name TEXT Model name [required]
--model_path TEXT Model path [required]
--worker_type TEXT Worker type
--worker_class TEXT Model worker class,
pilot.model.cluster.DefaultModelWorker
--model_type TEXT Model type: huggingface, llama.cpp, proxy
and vllm [default: huggingface]
--host TEXT Model worker deploy host [default: 0.0.0.0]
--port INTEGER Model worker deploy port [default: 8001]
--daemon Run Model Worker in background
--limit_model_concurrency INTEGER
Model concurrency limit [default: 5]
--standalone Standalone mode. If True, embedded Run
ModelController
--register Register current worker to model controller
[default: True]
--worker_register_host TEXT The ip address of current worker to register
to ModelController. If None, the address is
automatically determined
--controller_addr TEXT The Model controller address to register
--send_heartbeat Send heartbeat to model controller
[default: True]
--heartbeat_interval INTEGER The interval for sending heartbeats
(seconds) [default: 20]
--log_level TEXT Logging level
--log_file TEXT The filename to store log [default:
dbgpt_model_worker_manager.log]
--tracer_file TEXT The filename to store tracer span records
[default:
dbgpt_model_worker_manager_tracer.jsonl]
--tracer_storage_cls TEXT The storage class to storage tracer span
records
--device TEXT Device to run model. If None, the device is
automatically determined
--prompt_template TEXT Prompt template. If None, the prompt
template is automatically determined from
model path, supported template: zero_shot,vi
cuna_v1.1,llama-2,codellama,alpaca,baichuan-
chat,internlm-chat
--max_context_size INTEGER Maximum context size [default: 4096]
--num_gpus INTEGER The number of gpus you expect to use, if it
is empty, use all of them as much as
possible
--max_gpu_memory TEXT The maximum memory limit of each GPU, only
valid in multi-GPU configuration
--cpu_offloading CPU offloading
--load_8bit 8-bit quantization
--load_4bit 4-bit quantization
--quant_type TEXT Quantization datatypes, `fp4` (four bit
float) and `nf4` (normal four bit float),
only valid when load_4bit=True [default:
nf4]
--use_double_quant Nested quantization, only valid when
load_4bit=True [default: True]
--compute_dtype TEXT Model compute type
--trust_remote_code Trust remote code [default: True]
--verbose Show verbose output.
--help Show this message and exit.
提示
View dbgpt model service related commands dbgpt model --help
dbgpt model --help
Already connect 'dbgpt'
Usage: dbgpt model [OPTIONS] COMMAND [ARGS]...
Clients that manage model serving
Options:
--address TEXT Address of the Model Controller to connect to. Just support
light deploy model, If the environment variable
CONTROLLER_ADDRESS is configured, read from the environment
variable
--help Show this message and exit.
Commands:
chat Interact with your bot from the command line
list List model instances
restart Restart model instances
start Start model instances
stop Stop model instances