feat(model): Support llama3.1 models (#1744)

docs/blog/2024-07-24-db-gpt-llama-3.1-support.md

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+---
+slug: db-gpt-llama-3.1-support
+title: DB-GPT Now Supports Meta Llama 3.1 Series Models
+authors: fangyinc
+tags: [llama, LLM]
+---
+
+We are thrilled to announce that DB-GPT now supports inference with the Meta Llama 3.1 series models!
+
+## Introducing Meta Llama 3.1
+
+Meta Llama 3.1 is a state-of-the-art series of language models developed by Meta AI. Designed with cutting-edge techniques, the Llama 3.1 models offer unparalleled performance and versatility. Here are some of the key highlights:
+
+- **Variety of Models**: Meta Llama 3.1 is available in 8B, 70B, and 405B versions, each with both instruction-tuned and base models, supporting contexts up to 128k tokens.
+- **Multilingual Support**: Supports 8 languages, including English, German, and French.
+- **Extensive Training**: Trained on over 1.5 trillion tokens, utilizing 250 million human and synthetic samples for fine-tuning.
+- **Flexible Licensing**: Permissive model output usage allows for adaptation into other large language models (LLMs).
+- **Quantization Support**: Available in FP8, AWQ, and GPTQ quantized versions for efficient inference.
+- **Performance**: The Llama 3 405B version has outperformed GPT-4 in several benchmarks.
+- **Enhanced Efficiency**: The 8B and 70B models have seen a 12% improvement in coding and instruction-following capabilities.
+- **Tool and Function Call Support**: Supports tool usage and function calling.
+
+## How to Access Meta Llama 3.1
+
+Your can access the Meta Llama 3.1 models according to [Access to Hugging Face](https://github.com/meta-llama/llama-models?tab=readme-ov-file#access-to-hugging-face).
+
+For comprehensive documentation and additional details, please refer to the [model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md).
+
+## Using Meta Llama 3.1 in DB-GPT
+
+Please read the [Source Code Deployment](../docs/installation/sourcecode) to learn how to install DB-GPT from source code.
+
+Llama 3.1 needs upgrade your transformers >= 4.43.0, please upgrade your transformers:
+```bash
+pip install --upgrade "transformers>=4.43.0"
+```
+
+Please cd to the DB-GPT root directory:
+```bash
+cd DB-GPT
+```
+
+We assume that your models are stored in the `models` directory, e.g., `models/Meta-Llama-3.1-8B-Instruct`.
+
+Then modify your `.env` file:
+```env
+LLM_MODEL=meta-llama-3.1-8b-instruct
+# LLM_MODEL=meta-llama-3.1-70b-instruct
+# LLM_MODEL=meta-llama-3.1-405b-instruct
+## you can also specify the model path
+# LLM_MODEL_PATH=models/Meta-Llama-3.1-8B-Instruct
+## Quantization settings
+# QUANTIZE_8bit=False
+# QUANTIZE_4bit=True
+## You can configure the maximum memory used by each GPU.
+# MAX_GPU_MEMORY=16Gib
+```
+
+Then you can run the following command to start the server:
+```bash
+dbgpt start webserver
+```
+
+Open your browser and visit `http://localhost:5670` to use the Meta Llama 3.1 models in DB-GPT.
+
+Enjoy the power of Meta Llama 3.1 in DB-GPT!

docs/blog/authors.yml

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+fangyinc:
+  name: Fangyin Cheng
+  title: DB-GPT Core Team
+  url: https://github.com/fangyinc
+  image_url: https://avatars.githubusercontent.com/u/22972572?v=4

docs/blog/tags.yml

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+llama:
+  label: LLama
+  permalink: /llama
+  description: A series of language models developed by Meta AI 
+LLM:
+  label: LLM
+  permalink: /llm
+  description: Large Language Models