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https://github.com/csunny/DB-GPT.git
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- feat: Improve ModelWorker's error printing - chore: bump requirement.txt for guanaco support - docs: fix some typos in Tutorials
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commit
6d2ae97200
@ -33,11 +33,11 @@ Currently, we have released multiple key features, which are listed below to dem
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Getting Started
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-----------------
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| How to get started using DB-GPT to interact with your data and environment.
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- `Quickstart Guid <./getting_started/getting_started.html>`_
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- `Quickstart Guide <./getting_started/getting_started.html>`_
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| Concepts and terminology
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- `Concepts and terminology <./getting_started/concepts.html>`_
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- `Concepts and Terminology <./getting_started/concepts.html>`_
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| Coming soon...
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@ -34,19 +34,19 @@ msgid ""
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msgstr ""
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#: ../../getting_started/tutorials.md:8 b5e106a97bbd4467b071bb05d837d7d9
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msgid "Introduce"
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msgid "Introduction"
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msgstr ""
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#: ../../getting_started/tutorials.md:9 9df43436183d4b41a75a09fec15743d7
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#, fuzzy
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msgid "[What is DB-GPT](https://www.youtube.com/watch?v=QszhVJerc0I)"
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msgstr ""
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"###Introduce [什么是DB-"
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"###Introduction [什么是DB-"
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"GPT](https://www.bilibili.com/video/BV1SM4y1a7Nj/?buvid=551b023900b290f9497610b2155a2668&is_story_h5=false&mid=%2BVyE%2Fwau5woPcUKieCWS0A%3D%3D&p=1&plat_id=116&share_from=ugc&share_medium=iphone&share_plat=ios&share_session_id=5D08B533-82A4-4D40-9615-7826065B4574&share_source=GENERIC&share_tag=s_i×tamp=1686307943&unique_k=bhO3lgQ&up_id=31375446)"
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" by csunny (https://github.com/csunny/DB-GPT)"
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#: ../../getting_started/tutorials.md:11 3096811f862649bf84ff3cd29cdf14db
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msgid "Knowledge"
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msgid "Knowledge Base"
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msgstr "知识库"
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#: ../../getting_started/tutorials.md:13 ea00f3de8c754bf2950e735a2f14043a
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@ -43,6 +43,8 @@ LLM_MODEL_CONFIG = {
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"guanaco-33b-merged": os.path.join(MODEL_PATH, "guanaco-33b-merged"),
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"falcon-40b": os.path.join(MODEL_PATH, "falcon-40b"),
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"gorilla-7b": os.path.join(MODEL_PATH, "gorilla-7b"),
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# TODO Support baichuan-7b
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# "baichuan-7b" : os.path.join(MODEL_PATH, "baichuan-7b"),
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"gptj-6b": os.path.join(MODEL_PATH, "ggml-gpt4all-j-v1.3-groovy.bin"),
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"proxyllm": "proxyllm",
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}
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@ -32,9 +32,14 @@ class BaseLLMAdaper:
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return True
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def loader(self, model_path: str, from_pretrained_kwargs: dict):
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tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
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tokenizer = AutoTokenizer.from_pretrained(
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model_path, use_fast=False, trust_remote_code=True
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)
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model = AutoModelForCausalLM.from_pretrained(
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model_path, low_cpu_mem_usage=True, **from_pretrained_kwargs
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model_path,
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low_cpu_mem_usage=True,
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trust_remote_code=True,
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**from_pretrained_kwargs,
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)
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return model, tokenizer
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@ -57,7 +62,7 @@ def get_llm_model_adapter(model_path: str) -> BaseLLMAdaper:
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raise ValueError(f"Invalid model adapter for {model_path}")
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# TODO support cpu? for practise we support gpt4all or chatglm-6b-int4?
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# TODO support cpu? for practice we support gpt4all or chatglm-6b-int4?
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class VicunaLLMAdapater(BaseLLMAdaper):
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@ -5,6 +5,7 @@ import asyncio
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import json
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import os
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import sys
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import traceback
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import uvicorn
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from fastapi import BackgroundTasks, FastAPI, Request
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@ -89,10 +90,13 @@ class ModelWorker:
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ret = {"text": "**GPU OutOfMemory, Please Refresh.**", "error_code": 0}
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yield json.dumps(ret).encode() + b"\0"
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except Exception as e:
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msg = "{}: {}".format(str(e), traceback.format_exc())
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ret = {
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"text": f"**LLMServer Generate Error, Please CheckErrorInfo.**: {e}",
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"text": f"**LLMServer Generate Error, Please CheckErrorInfo.**: {msg}",
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"error_code": 0,
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}
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yield json.dumps(ret).encode() + b"\0"
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def get_embeddings(self, prompt):
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@ -4,7 +4,7 @@ aiohttp==3.8.4
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aiosignal==1.3.1
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async-timeout==4.0.2
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attrs==22.2.0
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bitsandbytes==0.37.0
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bitsandbytes==0.39.0
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cchardet==2.1.7
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chardet==5.1.0
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contourpy==1.0.7
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@ -27,7 +27,7 @@ python-dateutil==2.8.2
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pyyaml==6.0
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tokenizers==0.13.2
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tqdm==4.64.1
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transformers==4.28.0
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transformers==4.30.0
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timm==0.6.13
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spacy==3.5.3
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webdataset==0.2.48
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