多种模型：LLaMA、LLaVA、Mistral、Mixtral-MoE、Qwen、Yi、Gemma、Baichuan、ChatGLM、Phi 等等。
集成方法：（增量）预训练、（多模态）指令监督微调、奖励模型训练、PPO 训练、DPO 训练、KTO 训练和 ORPO 训练。
多种精度：32 比特全参数微调、16 比特冻结微调、16 比特 LoRA 微调和基于 AQLM/AWQ/GPTQ/LLM.int8 的 2/4/8 比特 QLoRA 微调。
先进算法：GaLore、BAdam、DoRA、LongLoRA、LLaMA Pro、Mixture-of-Depths、LoRA+、LoftQ 和 Agent 微调。
实用技巧：FlashAttention-2、Unsloth、RoPE scaling、NEFTune 和 rsLoRA。
实验监控：LlamaBoard、TensorBoard、Wandb、MLflow 等等。
极速推理：基于 vLLM 的 OpenAI 风格 API、浏览器界面和命令行接口。

性能指标

与 ChatGLM 官方的 P-Tuning 微调相比，LLaMA Factory 的 LoRA 微调提供了 3.7 倍的加速比，同时在广告文案生成任务上取得了更高的 Rouge 分数。结合 4 比特量化技术，LLaMA Factory 的 QLoRA 微调进一步降低了 GPU 显存消耗。

在这里插入图片描述

Training Speed: 训练阶段每秒处理的样本数量。（批处理大小=4，截断长度=1024）
Rouge Score: 广告文案生成任务验证集上的 Rouge-2 分数。（批处理大小=4，截断长度=1024）
GPU Memory: 4 比特量化训练的 GPU 显存峰值。（批处理大小=1，截断长度=1024）
在 ChatGLM 的 P-Tuning 中采用 pre_seq_len=128，在 LLaMA Factory 的 LoRA 微调中采用 lora_rank=32。

更新日志

[24/05/20] 官网支持了 PaliGemma 系列模型的微调。注意 PaliGemma 是预训练模型，你需要使用 gemma 模板进行微调使其获得对话能力。

[24/05/18] 官网支持了 KTO 偏好对齐算法。详细用法请参照 examples。

在这里插入图片描述

https://arxiv.org/pdf/2402.01306
[24/05/14] 官网支持了昇腾 NPU 设备的训练和推理。

模型

在这里插入图片描述

默认模块应作为 --lora_target 参数的默认值，可使用 --lora_target all 参数指定全部模块以取得更好的效果。

对于所有“基座”（Base）模型，–template 参数可以是 default, alpaca, vicuna 等任意值。但“对话”（Instruct/Chat）模型请务必使用对应的模板。

项目所支持模型的完整列表：

from collections import OrderedDict, defaultdict
from enum import Enum
from typing import Dict, Optional


CHOICES = ["A", "B", "C", "D"]

DATA_CONFIG = "dataset_info.json"

DEFAULT_MODULE = defaultdict(str)

DEFAULT_TEMPLATE = defaultdict(str)

FILEEXT2TYPE = {
    "arrow": "arrow",
    "csv": "csv",
    "json": "json",
    "jsonl": "json",
    "parquet": "parquet",
    "txt": "text",
}

IGNORE_INDEX = -100

IMAGE_TOKEN = "<image>"

LAYERNORM_NAMES = {"norm", "ln"}

METHODS = ["full", "freeze", "lora"]

MOD_SUPPORTED_MODELS = ["bloom", "falcon", "gemma", "llama", "mistral", "mixtral", "phi", "starcoder2"]

PEFT_METHODS = ["lora"]

RUNNING_LOG = "running_log.txt"

SUBJECTS = ["Average", "STEM", "Social Sciences", "Humanities", "Other"]

SUPPORTED_MODELS = OrderedDict()

TRAINER_CONFIG = "trainer_config.yaml"

TRAINER_LOG = "trainer_log.jsonl"

TRAINING_STAGES = {
    "Supervised Fine-Tuning": "sft",
    "Reward Modeling": "rm",
    "PPO": "ppo",
    "DPO": "dpo",
    "KTO": "kto",
    "ORPO": "orpo",
    "Pre-Training": "pt",
}

STAGES_USE_PAIR_DATA = ["rm", "dpo", "orpo"]

SUPPORTED_CLASS_FOR_S2ATTN = ["llama"]

V_HEAD_WEIGHTS_NAME = "value_head.bin"

V_HEAD_SAFE_WEIGHTS_NAME = "value_head.safetensors"

VISION_MODELS = set()


class DownloadSource(str, Enum):
    DEFAULT = "hf"
    MODELSCOPE = "ms"


def register_model_group(
    models: Dict[str, Dict[DownloadSource, str]],
    module: Optional[str] = None,
    template: Optional[str] = None,
    vision: bool = False,
) -> None:
    prefix = None
    for name, path in models.items():
        if prefix is None:
            prefix = name.split("-")[0]
        else:
            assert prefix == name.split("-")[0], "prefix should be identical."
        SUPPORTED_MODELS[name] = path
    if module is not None:
        DEFAULT_MODULE[prefix] = module
    if template is not None:
        DEFAULT_TEMPLATE[prefix] = template
    if vision:
        VISION_MODELS.add(prefix)


register_model_group(
    models={
        "Baichuan-7B-Base": {
            DownloadSource.DEFAULT: "baichuan-inc/Baichuan-7B",
            DownloadSource.MODELSCOPE: "baichuan-inc/baichuan-7B",
        },
        "Baichuan-13B-Base": {
            DownloadSource.DEFAULT: "baichuan-inc/Baichuan-13B-Base",
            DownloadSource.MODELSCOPE: "baichuan-inc/Baichuan-13B-Base",
        },
        "Baichuan-13B-Chat": {
            DownloadSource.DEFAULT: "baichuan-inc/Baichuan-13B-Chat",
            DownloadSource.MODELSCOPE: "baichuan-inc/Baichuan-13B-Chat",
        },
    },
    module="W_pack",
    template="baichuan",
)


register_model_group(
    models={
        "Baichuan2-7B-Base": {
            DownloadSource.DEFAULT: "baichuan-inc/Baichuan2-7B-Base",
            DownloadSource.MODELSCOPE: "baichuan-inc/Baichuan2-7B-Base",
        },
        "Baichuan2-13B-Base": {
            DownloadSource.DEFAULT: "baichuan-inc/Baichuan2-13B-Base",
            DownloadSource.MODELSCOPE: "baichuan-inc/Baichuan2-13B-Base",
        },
        "Baichuan2-7B-Chat": {
            DownloadSource.DEFAULT: "baichuan-inc/Baichuan2-7B-Chat",
            DownloadSource.MODELSCOPE: "baichuan-inc/Baichuan2-7B-Chat",
        },
        "Baichuan2-13B-Chat": {
            DownloadSource.DEFAULT: "baichuan-inc/Baichuan2-13B-Chat",
            DownloadSource.MODELSCOPE: "baichuan-inc/Baichuan2-13B-Chat",
        },
    },
    module="W_pack",
    template="baichuan2",
)


register_model_group(
    models={
        "BLOOM-560M": {
            DownloadSource.DEFAULT: "bigscience/bloom-560m",
            DownloadSource.MODELSCOPE: "AI-ModelScope/bloom-560m",
        },
        "BLOOM-3B": {
            DownloadSource.DEFAULT: "bigscience/bloom-3b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/bloom-3b",
        },
        "BLOOM-7B1": {
            DownloadSource.DEFAULT: "bigscience/bloom-7b1",
            DownloadSource.MODELSCOPE: "AI-ModelScope/bloom-7b1",
        },
    },
    module="query_key_value",
)


register_model_group(
    models={
        "BLOOMZ-560M": {
            DownloadSource.DEFAULT: "bigscience/bloomz-560m",
            DownloadSource.MODELSCOPE: "AI-ModelScope/bloomz-560m",
        },
        "BLOOMZ-3B": {
            DownloadSource.DEFAULT: "bigscience/bloomz-3b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/bloomz-3b",
        },
        "BLOOMZ-7B1-mt": {
            DownloadSource.DEFAULT: "bigscience/bloomz-7b1-mt",
            DownloadSource.MODELSCOPE: "AI-ModelScope/bloomz-7b1-mt",
        },
    },
    module="query_key_value",
)


register_model_group(
    models={
        "BlueLM-7B-Base": {
            DownloadSource.DEFAULT: "vivo-ai/BlueLM-7B-Base",
            DownloadSource.MODELSCOPE: "vivo-ai/BlueLM-7B-Base",
        },
        "BlueLM-7B-Chat": {
            DownloadSource.DEFAULT: "vivo-ai/BlueLM-7B-Chat",
            DownloadSource.MODELSCOPE: "vivo-ai/BlueLM-7B-Chat",
        },
    },
    template="bluelm",
)


register_model_group(
    models={
        "Breeze-7B": {
            DownloadSource.DEFAULT: "MediaTek-Research/Breeze-7B-Base-v1_0",
        },
        "Breeze-7B-Chat": {
            DownloadSource.DEFAULT: "MediaTek-Research/Breeze-7B-Instruct-v1_0",
        },
    },
    template="breeze",
)


register_model_group(
    models={
        "ChatGLM2-6B-Chat": {
            DownloadSource.DEFAULT: "THUDM/chatglm2-6b",
            DownloadSource.MODELSCOPE: "ZhipuAI/chatglm2-6b",
        }
    },
    module="query_key_value",
    template="chatglm2",
)


register_model_group(
    models={
        "ChatGLM3-6B-Base": {
            DownloadSource.DEFAULT: "THUDM/chatglm3-6b-base",
            DownloadSource.MODELSCOPE: "ZhipuAI/chatglm3-6b-base",
        },
        "ChatGLM3-6B-Chat": {
            DownloadSource.DEFAULT: "THUDM/chatglm3-6b",
            DownloadSource.MODELSCOPE: "ZhipuAI/chatglm3-6b",
        },
    },
    module="query_key_value",
    template="chatglm3",
)


register_model_group(
    models={
        "ChineseLLaMA2-1.3B": {
            DownloadSource.DEFAULT: "hfl/chinese-llama-2-1.3b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/chinese-llama-2-1.3b",
        },
        "ChineseLLaMA2-7B": {
            DownloadSource.DEFAULT: "hfl/chinese-llama-2-7b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/chinese-llama-2-7b",
        },
        "ChineseLLaMA2-13B": {
            DownloadSource.DEFAULT: "hfl/chinese-llama-2-13b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/chinese-llama-2-13b",
        },
        "ChineseLLaMA2-1.3B-Chat": {
            DownloadSource.DEFAULT: "hfl/chinese-alpaca-2-1.3b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/chinese-alpaca-2-1.3b",
        },
        "ChineseLLaMA2-7B-Chat": {
            DownloadSource.DEFAULT: "hfl/chinese-alpaca-2-7b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/chinese-alpaca-2-7b",
        },
        "ChineseLLaMA2-13B-Chat": {
            DownloadSource.DEFAULT: "hfl/chinese-alpaca-2-13b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/chinese-alpaca-2-13b",
        },
    },
    template="llama2_zh",
)


register_model_group(
    models={
        "CommandR-35B-Chat": {
            DownloadSource.DEFAULT: "CohereForAI/c4ai-command-r-v01",
            DownloadSource.MODELSCOPE: "AI-ModelScope/c4ai-command-r-v01",
        },
        "CommandR-Plus-104B-Chat": {
            DownloadSource.DEFAULT: "CohereForAI/c4ai-command-r-plus",
            DownloadSource.MODELSCOPE: "AI-ModelScope/c4ai-command-r-plus",
        },
        "CommandR-35B-4bit-Chat": {
            DownloadSource.DEFAULT: "CohereForAI/c4ai-command-r-v01-4bit",
            DownloadSource.MODELSCOPE: "mirror013/c4ai-command-r-v01-4bit",
        },
        "CommandR-Plus-104B-4bit-Chat": {
            DownloadSource.DEFAULT: "CohereForAI/c4ai-command-r-plus-4bit",
        },
    },
    template="cohere",
)


register_model_group(
    models={
        "DBRX-132B-Base": {
            DownloadSource.DEFAULT: "databricks/dbrx-base",
            DownloadSource.MODELSCOPE: "AI-ModelScope/dbrx-base",
        },
        "DBRX-132B-Chat": {
            DownloadSource.DEFAULT: "databricks/dbrx-instruct",
            DownloadSource.MODELSCOPE: "AI-ModelScope/dbrx-instruct",
        },
    },
    module="Wqkv",
    template="dbrx",
)


register_model_group(
    models={
        "DeepSeek-LLM-7B-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-llm-7b-base",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-llm-7b-base",
        },
        "DeepSeek-LLM-67B-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-llm-67b-base",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-llm-67b-base",
        },
        "DeepSeek-LLM-7B-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-llm-7b-chat",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-llm-7b-chat",
        },
        "DeepSeek-LLM-67B-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-llm-67b-chat",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-llm-67b-chat",
        },
        "DeepSeek-Math-7B-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-math-7b-base",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-math-7b-base",
        },
        "DeepSeek-Math-7B-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-math-7b-instruct",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-math-7b-instruct",
        },
        "DeepSeek-MoE-16B-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-moe-16b-base",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-moe-16b-base",
        },
        "DeepSeek-MoE-16B-v2-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/DeepSeek-V2-Lite",
        },
        "DeepSeek-MoE-236B-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/DeepSeek-V2",
            DownloadSource.MODELSCOPE: "deepseek-ai/DeepSeek-V2",
        },
        "DeepSeek-MoE-16B-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-moe-16b-chat",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-moe-16b-chat",
        },
        "DeepSeek-MoE-16B-v2-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/DeepSeek-V2-Lite-Chat",
        },
        "DeepSeek-MoE-236B-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/DeepSeek-V2-Chat",
            DownloadSource.MODELSCOPE: "deepseek-ai/DeepSeek-V2-Chat",
        },
    },
    template="deepseek",
)


register_model_group(
    models={
        "DeepSeekCoder-6.7B-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-coder-6.7b-base",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-coder-6.7b-base",
        },
        "DeepSeekCoder-7B-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-coder-7b-base-v1.5",
        },
        "DeepSeekCoder-33B-Base": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-coder-33b-base",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-coder-33b-base",
        },
        "DeepSeekCoder-6.7B-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-coder-6.7b-instruct",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-coder-6.7b-instruct",
        },
        "DeepSeekCoder-7B-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-coder-7b-instruct-v1.5",
        },
        "DeepSeekCoder-33B-Chat": {
            DownloadSource.DEFAULT: "deepseek-ai/deepseek-coder-33b-instruct",
            DownloadSource.MODELSCOPE: "deepseek-ai/deepseek-coder-33b-instruct",
        },
    },
    template="deepseekcoder",
)


register_model_group(
    models={
        "Falcon-7B": {
            DownloadSource.DEFAULT: "tiiuae/falcon-7b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/falcon-7b",
        },
        "Falcon-11B": {
            DownloadSource.DEFAULT: "tiiuae/falcon-11B",
        },
        "Falcon-40B": {
            DownloadSource.DEFAULT: "tiiuae/falcon-40b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/falcon-40b",
        },
        "Falcon-180B": {
            DownloadSource.DEFAULT: "tiiuae/falcon-180b",
            DownloadSource.MODELSCOPE: "modelscope/falcon-180B",
        },
        "Falcon-7B-Chat": {
            DownloadSource.DEFAULT: "tiiuae/falcon-7b-instruct",
            DownloadSource.MODELSCOPE: "AI-ModelScope/falcon-7b-instruct",
        },
        "Falcon-40B-Chat": {
            DownloadSource.DEFAULT: "tiiuae/falcon-40b-instruct",
            DownloadSource.MODELSCOPE: "AI-ModelScope/falcon-40b-instruct",
        },
        "Falcon-180B-Chat": {
            DownloadSource.DEFAULT: "tiiuae/falcon-180b-chat",
            DownloadSource.MODELSCOPE: "modelscope/falcon-180B-chat",
        },
    },
    module="query_key_value",
    template="falcon",
)


register_model_group(
    models={
        "Gemma-2B": {
            DownloadSource.DEFAULT: "google/gemma-2b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/gemma-2b",
        },
        "Gemma-7B": {
            DownloadSource.DEFAULT: "google/gemma-7b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/gemma-2b-it",
        },
        "Gemma-2B-Chat": {
            DownloadSource.DEFAULT: "google/gemma-2b-it",
            DownloadSource.MODELSCOPE: "AI-ModelScope/gemma-7b",
        },
        "Gemma-7B-Chat": {
            DownloadSource.DEFAULT: "google/gemma-7b-it",
            DownloadSource.MODELSCOPE: "AI-ModelScope/gemma-7b-it",
        },
    },
    template="gemma",
)


register_model_group(
    models={
        "CodeGemma-2B": {
            DownloadSource.DEFAULT: "google/codegemma-1.1-2b",
        },
        "CodeGemma-7B": {
            DownloadSource.DEFAULT: "google/codegemma-7b",
        },
        "CodeGemma-7B-Chat": {
            DownloadSource.DEFAULT: "google/codegemma-1.1-7b-it",
            DownloadSource.MODELSCOPE: "AI-ModelScope/codegemma-7b-it",
        },
    },
    template="gemma",
)


register_model_group(
    models={
        "InternLM-7B": {
            DownloadSource.DEFAULT: "internlm/internlm-7b",
            DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm-7b",
        },
        "InternLM-20B": {
            DownloadSource.DEFAULT: "internlm/internlm-20b",
            DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm-20b",
        },
        "InternLM-7B-Chat": {
            DownloadSource.DEFAULT: "internlm/internlm-chat-7b",
            DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm-chat-7b",
        },
        "InternLM-20B-Chat": {
            DownloadSource.DEFAULT: "internlm/internlm-chat-20b",
            DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm-chat-20b",
        },
    },
    template="intern",
)


register_model_group(
    models={
        "InternLM2-7B": {
            DownloadSource.DEFAULT: "internlm/internlm2-7b",
            DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm2-7b",
        },
        "InternLM2-20B": {
            DownloadSource.DEFAULT: "internlm/internlm2-20b",
            DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm2-20b",
        },
        "InternLM2-7B-Chat": {
            DownloadSource.DEFAULT: "internlm/internlm2-chat-7b",
            DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm2-chat-7b",
        },
        "InternLM2-20B-Chat": {
            DownloadSource.DEFAULT: "internlm/internlm2-chat-20b",
            DownloadSource.MODELSCOPE: "Shanghai_AI_Laboratory/internlm2-chat-20b",
        },
    },
    module="wqkv",
    template="intern2",
)


register_model_group(
    models={
        "Jambda-v0.1": {
            DownloadSource.DEFAULT: "ai21labs/Jamba-v0.1",
            DownloadSource.MODELSCOPE: "AI-ModelScope/Jamba-v0.1",
        }
    },
)


register_model_group(
    models={
        "LingoWhale-8B": {
            DownloadSource.DEFAULT: "deeplang-ai/LingoWhale-8B",
            DownloadSource.MODELSCOPE: "DeepLang/LingoWhale-8B",
        }
    },
    module="qkv_proj",
)


register_model_group(
    models={
        "LLaMA-7B": {
            DownloadSource.DEFAULT: "huggyllama/llama-7b",
            DownloadSource.MODELSCOPE: "skyline2006/llama-7b",
        },
        "LLaMA-13B": {
            DownloadSource.DEFAULT: "huggyllama/llama-13b",
            DownloadSource.MODELSCOPE: "skyline2006/llama-13b",
        },
        "LLaMA-30B": {
            DownloadSource.DEFAULT: "huggyllama/llama-30b",
            DownloadSource.MODELSCOPE: "skyline2006/llama-30b",
        },
        "LLaMA-65B": {
            DownloadSource.DEFAULT: "huggyllama/llama-65b",
            DownloadSource.MODELSCOPE: "skyline2006/llama-65b",
        },
    }
)


register_model_group(
    models={
        "LLaMA2-7B": {
            DownloadSource.DEFAULT: "meta-llama/Llama-2-7b-hf",
            DownloadSource.MODELSCOPE: "modelscope/Llama-2-7b-ms",
        },
        "LLaMA2-13B": {
            DownloadSource.DEFAULT: "meta-llama/Llama-2-13b-hf",
            DownloadSource.MODELSCOPE: "modelscope/Llama-2-13b-ms",
        },
        "LLaMA2-70B": {
            DownloadSource.DEFAULT: "meta-llama/Llama-2-70b-hf",
            DownloadSource.MODELSCOPE: "modelscope/Llama-2-70b-ms",
        },
        "LLaMA2-7B-Chat": {
            DownloadSource.DEFAULT: "meta-llama/Llama-2-7b-chat-hf",
            DownloadSource.MODELSCOPE: "modelscope/Llama-2-7b-chat-ms",
        },
        "LLaMA2-13B-Chat": {
            DownloadSource.DEFAULT: "meta-llama/Llama-2-13b-chat-hf",
            DownloadSource.MODELSCOPE: "modelscope/Llama-2-13b-chat-ms",
        },
        "LLaMA2-70B-Chat": {
            DownloadSource.DEFAULT: "meta-llama/Llama-2-70b-chat-hf",
            DownloadSource.MODELSCOPE: "modelscope/Llama-2-70b-chat-ms",
        },
    },
    template="llama2",
)


register_model_group(
    models={
        "LLaMA3-8B": {
            DownloadSource.DEFAULT: "meta-llama/Meta-Llama-3-8B",
            DownloadSource.MODELSCOPE: "LLM-Research/Meta-Llama-3-8B",
        },
        "LLaMA3-70B": {
            DownloadSource.DEFAULT: "meta-llama/Meta-Llama-3-70B",
            DownloadSource.MODELSCOPE: "LLM-Research/Meta-Llama-3-70B",
        },
        "LLaMA3-8B-Chat": {
            DownloadSource.DEFAULT: "meta-llama/Meta-Llama-3-8B-Instruct",
            DownloadSource.MODELSCOPE: "LLM-Research/Meta-Llama-3-8B-Instruct",
        },
        "LLaMA3-70B-Chat": {
            DownloadSource.DEFAULT: "meta-llama/Meta-Llama-3-70B-Instruct",
            DownloadSource.MODELSCOPE: "LLM-Research/Meta-Llama-3-70B-Instruct",
        },
        "LLaMA3-8B-Chinese-Chat": {
            DownloadSource.DEFAULT: "shenzhi-wang/Llama3-8B-Chinese-Chat",
            DownloadSource.MODELSCOPE: "LLM-Research/Llama3-8B-Chinese-Chat",
        },
        "LLaMA3-70B-Chinese-Chat": {
            DownloadSource.DEFAULT: "shenzhi-wang/Llama3-70B-Chinese-Chat",
        },
    },
    template="llama3",
)


register_model_group(
    models={
        "LLaVA1.5-7B-Chat": {
            DownloadSource.DEFAULT: "llava-hf/llava-1.5-7b-hf",
        },
        "LLaVA1.5-13B-Chat": {
            DownloadSource.DEFAULT: "llava-hf/llava-1.5-13b-hf",
        },
    },
    template="vicuna",
    vision=True,
)


register_model_group(
    models={
        "Mistral-7B-v0.1": {
            DownloadSource.DEFAULT: "mistralai/Mistral-7B-v0.1",
            DownloadSource.MODELSCOPE: "AI-ModelScope/Mistral-7B-v0.1",
        },
        "Mistral-7B-v0.1-Chat": {
            DownloadSource.DEFAULT: "mistralai/Mistral-7B-Instruct-v0.1",
            DownloadSource.MODELSCOPE: "AI-ModelScope/Mistral-7B-Instruct-v0.1",
        },
        "Mistral-7B-v0.2": {
            DownloadSource.DEFAULT: "alpindale/Mistral-7B-v0.2-hf",
            DownloadSource.MODELSCOPE: "AI-ModelScope/Mistral-7B-v0.2-hf",
        },
        "Mistral-7B-v0.2-Chat": {
            DownloadSource.DEFAULT: "mistralai/Mistral-7B-Instruct-v0.2",
            DownloadSource.MODELSCOPE: "AI-ModelScope/Mistral-7B-Instruct-v0.2",
        },
    },
    template="mistral",
)


register_model_group(
    models={
        "Mixtral-8x7B-v0.1": {
            DownloadSource.DEFAULT: "mistralai/Mixtral-8x7B-v0.1",
            DownloadSource.MODELSCOPE: "AI-ModelScope/Mixtral-8x7B-v0.1",
        },
        "Mixtral-8x7B-v0.1-Chat": {
            DownloadSource.DEFAULT: "mistralai/Mixtral-8x7B-Instruct-v0.1",
            DownloadSource.MODELSCOPE: "AI-ModelScope/Mixtral-8x7B-Instruct-v0.1",
        },
        "Mixtral-8x22B-v0.1": {
            DownloadSource.DEFAULT: "mistralai/Mixtral-8x22B-v0.1",
            DownloadSource.MODELSCOPE: "AI-ModelScope/Mixtral-8x22B-v0.1",
        },
        "Mixtral-8x22B-v0.1-Chat": {
            DownloadSource.DEFAULT: "mistralai/Mixtral-8x22B-Instruct-v0.1",
        },
    },
    template="mistral",
)


register_model_group(
    models={
        "OLMo-1B": {
            DownloadSource.DEFAULT: "allenai/OLMo-1B-hf",
        },
        "OLMo-7B": {
            DownloadSource.DEFAULT: "allenai/OLMo-7B-hf",
        },
        "OLMo-1.7-7B": {
            DownloadSource.DEFAULT: "allenai/OLMo-1.7-7B-hf",
        },
    },
)


register_model_group(
    models={
        "OpenChat3.5-7B-Chat": {
            DownloadSource.DEFAULT: "openchat/openchat-3.5-0106",
            DownloadSource.MODELSCOPE: "xcwzxcwz/openchat-3.5-0106",
        }
    },
    template="openchat",
)


register_model_group(
    models={
        "Orion-14B-Base": {
            DownloadSource.DEFAULT: "OrionStarAI/Orion-14B-Base",
            DownloadSource.MODELSCOPE: "OrionStarAI/Orion-14B-Base",
        },
        "Orion-14B-Chat": {
            DownloadSource.DEFAULT: "OrionStarAI/Orion-14B-Chat",
            DownloadSource.MODELSCOPE: "OrionStarAI/Orion-14B-Chat",
        },
        "Orion-14B-Long-Chat": {
            DownloadSource.DEFAULT: "OrionStarAI/Orion-14B-LongChat",
            DownloadSource.MODELSCOPE: "OrionStarAI/Orion-14B-LongChat",
        },
        "Orion-14B-RAG-Chat": {
            DownloadSource.DEFAULT: "OrionStarAI/Orion-14B-Chat-RAG",
            DownloadSource.MODELSCOPE: "OrionStarAI/Orion-14B-Chat-RAG",
        },
        "Orion-14B-Plugin-Chat": {
            DownloadSource.DEFAULT: "OrionStarAI/Orion-14B-Chat-Plugin",
            DownloadSource.MODELSCOPE: "OrionStarAI/Orion-14B-Chat-Plugin",
        },
    },
    template="orion",
)


register_model_group(
    models={
        "PaliGemma-3B-pt-224": {
            DownloadSource.DEFAULT: "google/paligemma-3b-pt-224",
        },
        "PaliGemma-3B-pt-448": {
            DownloadSource.DEFAULT: "google/paligemma-3b-pt-448",
        },
        "PaliGemma-3B-pt-896": {
            DownloadSource.DEFAULT: "google/paligemma-3b-pt-896",
        },
        "PaliGemma-3B-mix-224": {
            DownloadSource.DEFAULT: "google/paligemma-3b-mix-224",
        },
        "PaliGemma-3B-mix-448": {
            DownloadSource.DEFAULT: "google/paligemma-3b-mix-448",
        },
    },
    vision=True,
)


register_model_group(
    models={
        "Phi-1.5-1.3B": {
            DownloadSource.DEFAULT: "microsoft/phi-1_5",
            DownloadSource.MODELSCOPE: "allspace/PHI_1-5",
        },
        "Phi-2-2.7B": {
            DownloadSource.DEFAULT: "microsoft/phi-2",
            DownloadSource.MODELSCOPE: "AI-ModelScope/phi-2",
        },
    }
)


register_model_group(
    models={
        "Phi3-3.8B-4k-Chat": {
            DownloadSource.DEFAULT: "microsoft/Phi-3-mini-4k-instruct",
            DownloadSource.MODELSCOPE: "LLM-Research/Phi-3-mini-4k-instruct",
        },
        "Phi3-3.8B-128k-Chat": {
            DownloadSource.DEFAULT: "microsoft/Phi-3-mini-128k-instruct",
            DownloadSource.MODELSCOPE: "LLM-Research/Phi-3-mini-128k-instruct",
        },
    },
    module="qkv_proj",
    template="phi",
)


register_model_group(
    models={
        "Qwen-1.8B": {
            DownloadSource.DEFAULT: "Qwen/Qwen-1_8B",
            DownloadSource.MODELSCOPE: "qwen/Qwen-1_8B",
        },
        "Qwen-7B": {
            DownloadSource.DEFAULT: "Qwen/Qwen-7B",
            DownloadSource.MODELSCOPE: "qwen/Qwen-7B",
        },
        "Qwen-14B": {
            DownloadSource.DEFAULT: "Qwen/Qwen-14B",
            DownloadSource.MODELSCOPE: "qwen/Qwen-14B",
        },
        "Qwen-72B": {
            DownloadSource.DEFAULT: "Qwen/Qwen-72B",
            DownloadSource.MODELSCOPE: "qwen/Qwen-72B",
        },
        "Qwen-1.8B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-1_8B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen-1_8B-Chat",
        },
        "Qwen-7B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-7B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen-7B-Chat",
        },
        "Qwen-14B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-14B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen-14B-Chat",
        },
        "Qwen-72B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-72B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen-72B-Chat",
        },
        "Qwen-1.8B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-1_8B-Chat-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen-1_8B-Chat-Int8",
        },
        "Qwen-1.8B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-1_8B-Chat-Int4",
            DownloadSource.MODELSCOPE: "qwen/Qwen-1_8B-Chat-Int4",
        },
        "Qwen-7B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-7B-Chat-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen-7B-Chat-Int8",
        },
        "Qwen-7B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-7B-Chat-Int4",
            DownloadSource.MODELSCOPE: "qwen/Qwen-7B-Chat-Int4",
        },
        "Qwen-14B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-14B-Chat-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen-14B-Chat-Int8",
        },
        "Qwen-14B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-14B-Chat-Int4",
            DownloadSource.MODELSCOPE: "qwen/Qwen-14B-Chat-Int4",
        },
        "Qwen-72B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-72B-Chat-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen-72B-Chat-Int8",
        },
        "Qwen-72B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen-72B-Chat-Int4",
            DownloadSource.MODELSCOPE: "qwen/Qwen-72B-Chat-Int4",
        },
    },
    module="c_attn",
    template="qwen",
)


register_model_group(
    models={
        "Qwen1.5-0.5B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-0.5B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-0.5B",
        },
        "Qwen1.5-1.8B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-1.8B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-1.8B",
        },
        "Qwen1.5-4B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-4B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-4B",
        },
        "Qwen1.5-7B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-7B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-7B",
        },
        "Qwen1.5-14B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-14B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-14B",
        },
        "Qwen1.5-32B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-32B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-32B",
        },
        "Qwen1.5-72B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-72B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-72B",
        },
        "Qwen1.5-110B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-110B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-110B",
        },
        "Qwen1.5-MoE-A2.7B": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-MoE-A2.7B",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-MoE-A2.7B",
        },
        "Qwen1.5-Code-7B": {
            DownloadSource.DEFAULT: "Qwen/CodeQwen1.5-7B",
            DownloadSource.MODELSCOPE: "qwen/CodeQwen1.5-7B",
        },
        "Qwen1.5-0.5B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-0.5B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-0.5B-Chat",
        },
        "Qwen1.5-1.8B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-1.8B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-1.8B-Chat",
        },
        "Qwen1.5-4B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-4B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-4B-Chat",
        },
        "Qwen1.5-7B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-7B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-7B-Chat",
        },
        "Qwen1.5-14B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-14B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-14B-Chat",
        },
        "Qwen1.5-32B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-32B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-32B-Chat",
        },
        "Qwen1.5-72B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-72B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-72B-Chat",
        },
        "Qwen1.5-110B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-110B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-110B-Chat",
        },
        "Qwen1.5-MoE-A2.7B-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-MoE-A2.7B-Chat",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-MoE-A2.7B-Chat",
        },
        "Qwen1.5-Code-7B-Chat": {
            DownloadSource.DEFAULT: "Qwen/CodeQwen1.5-7B-Chat",
            DownloadSource.MODELSCOPE: "qwen/CodeQwen1.5-7B-Chat",
        },
        "Qwen1.5-0.5B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-0.5B-Chat-GPTQ-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-0.5B-Chat-GPTQ-Int8",
        },
        "Qwen1.5-0.5B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-0.5B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-0.5B-Chat-AWQ",
        },
        "Qwen1.5-1.8B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-1.8B-Chat-GPTQ-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-1.8B-Chat-GPTQ-Int8",
        },
        "Qwen1.5-1.8B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-1.8B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-1.8B-Chat-AWQ",
        },
        "Qwen1.5-4B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-4B-Chat-GPTQ-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-4B-Chat-GPTQ-Int8",
        },
        "Qwen1.5-4B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-4B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-4B-Chat-AWQ",
        },
        "Qwen1.5-7B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-7B-Chat-GPTQ-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-7B-Chat-GPTQ-Int8",
        },
        "Qwen1.5-7B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-7B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-7B-Chat-AWQ",
        },
        "Qwen1.5-14B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-14B-Chat-GPTQ-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-14B-Chat-GPTQ-Int8",
        },
        "Qwen1.5-14B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-14B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-14B-Chat-AWQ",
        },
        "Qwen1.5-32B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-32B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-32B-Chat-AWQ",
        },
        "Qwen1.5-72B-int8-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-72B-Chat-GPTQ-Int8",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-72B-Chat-GPTQ-Int8",
        },
        "Qwen1.5-72B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-72B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-72B-Chat-AWQ",
        },
        "Qwen1.5-110B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-110B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-110B-Chat-AWQ",
        },
        "Qwen1.5-MoE-A2.7B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4",
            DownloadSource.MODELSCOPE: "qwen/Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4",
        },
        "Qwen1.5-Code-7B-int4-Chat": {
            DownloadSource.DEFAULT: "Qwen/CodeQwen1.5-7B-Chat-AWQ",
            DownloadSource.MODELSCOPE: "qwen/CodeQwen1.5-7B-Chat-AWQ",
        },
    },
    template="qwen",
)


register_model_group(
    models={
        "SOLAR-10.7B": {
            DownloadSource.DEFAULT: "upstage/SOLAR-10.7B-v1.0",
        },
        "SOLAR-10.7B-Chat": {
            DownloadSource.DEFAULT: "upstage/SOLAR-10.7B-Instruct-v1.0",
            DownloadSource.MODELSCOPE: "AI-ModelScope/SOLAR-10.7B-Instruct-v1.0",
        },
    },
    template="solar",
)


register_model_group(
    models={
        "Skywork-13B-Base": {
            DownloadSource.DEFAULT: "Skywork/Skywork-13B-base",
            DownloadSource.MODELSCOPE: "skywork/Skywork-13B-base",
        }
    }
)


register_model_group(
    models={
        "StarCoder2-3B": {
            DownloadSource.DEFAULT: "bigcode/starcoder2-3b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/starcoder2-3b",
        },
        "StarCoder2-7B": {
            DownloadSource.DEFAULT: "bigcode/starcoder2-7b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/starcoder2-7b",
        },
        "StarCoder2-15B": {
            DownloadSource.DEFAULT: "bigcode/starcoder2-15b",
            DownloadSource.MODELSCOPE: "AI-ModelScope/starcoder2-15b",
        },
    }
)


register_model_group(
    models={
        "Vicuna1.5-7B-Chat": {
            DownloadSource.DEFAULT: "lmsys/vicuna-7b-v1.5",
            DownloadSource.MODELSCOPE: "Xorbits/vicuna-7b-v1.5",
        },
        "Vicuna1.5-13B-Chat": {
            DownloadSource.DEFAULT: "lmsys/vicuna-13b-v1.5",
            DownloadSource.MODELSCOPE: "Xorbits/vicuna-13b-v1.5",
        },
    },
    template="vicuna",
)


register_model_group(
    models={
        "XuanYuan-6B": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan-6B",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan-6B",
        },
        "XuanYuan-70B": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan-70B",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan-70B",
        },
        "XuanYuan-2-70B": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan2-70B",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan2-70B",
        },
        "XuanYuan-6B-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan-6B-Chat",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan-6B-Chat",
        },
        "XuanYuan-70B-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan-70B-Chat",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan-70B-Chat",
        },
        "XuanYuan-2-70B-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan2-70B-Chat",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan2-70B-Chat",
        },
        "XuanYuan-6B-int8-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan-6B-Chat-8bit",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan-6B-Chat-8bit",
        },
        "XuanYuan-6B-int4-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan-6B-Chat-4bit",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan-6B-Chat-4bit",
        },
        "XuanYuan-70B-int8-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan-70B-Chat-8bit",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan-70B-Chat-8bit",
        },
        "XuanYuan-70B-int4-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan-70B-Chat-4bit",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan-70B-Chat-4bit",
        },
        "XuanYuan-2-70B-int8-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan2-70B-Chat-8bit",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan2-70B-Chat-8bit",
        },
        "XuanYuan-2-70B-int4-Chat": {
            DownloadSource.DEFAULT: "Duxiaoman-DI/XuanYuan2-70B-Chat-4bit",
            DownloadSource.MODELSCOPE: "Duxiaoman-DI/XuanYuan2-70B-Chat-4bit",
        },
    },
    template="xuanyuan",
)


register_model_group(
    models={
        "XVERSE-7B": {
            DownloadSource.DEFAULT: "xverse/XVERSE-7B",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-7B",
        },
        "XVERSE-13B": {
            DownloadSource.DEFAULT: "xverse/XVERSE-13B",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-13B",
        },
        "XVERSE-65B": {
            DownloadSource.DEFAULT: "xverse/XVERSE-65B",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-65B",
        },
        "XVERSE-65B-2": {
            DownloadSource.DEFAULT: "xverse/XVERSE-65B-2",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-65B-2",
        },
        "XVERSE-7B-Chat": {
            DownloadSource.DEFAULT: "xverse/XVERSE-7B-Chat",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-7B-Chat",
        },
        "XVERSE-13B-Chat": {
            DownloadSource.DEFAULT: "xverse/XVERSE-13B-Chat",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-13B-Chat",
        },
        "XVERSE-65B-Chat": {
            DownloadSource.DEFAULT: "xverse/XVERSE-65B-Chat",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-65B-Chat",
        },
        "XVERSE-MoE-A4.2B": {
            DownloadSource.DEFAULT: "xverse/XVERSE-MoE-A4.2B",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-MoE-A4.2B",
        },
        "XVERSE-7B-int8-Chat": {
            DownloadSource.DEFAULT: "xverse/XVERSE-7B-Chat-GPTQ-Int8",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-7B-Chat-GPTQ-Int8",
        },
        "XVERSE-7B-int4-Chat": {
            DownloadSource.DEFAULT: "xverse/XVERSE-7B-Chat-GPTQ-Int4",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-7B-Chat-GPTQ-Int4",
        },
        "XVERSE-13B-int8-Chat": {
            DownloadSource.DEFAULT: "xverse/XVERSE-13B-Chat-GPTQ-Int8",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-13B-Chat-GPTQ-Int8",
        },
        "XVERSE-13B-int4-Chat": {
            DownloadSource.DEFAULT: "xverse/XVERSE-13B-Chat-GPTQ-Int4",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-13B-Chat-GPTQ-Int4",
        },
        "XVERSE-65B-int4-Chat": {
            DownloadSource.DEFAULT: "xverse/XVERSE-65B-Chat-GPTQ-Int4",
            DownloadSource.MODELSCOPE: "xverse/XVERSE-65B-Chat-GPTQ-Int4",
        },
    },
    template="xverse",
)


register_model_group(
    models={
        "Yayi-7B": {
            DownloadSource.DEFAULT: "wenge-research/yayi-7b-llama2",
            DownloadSource.MODELSCOPE: "AI-ModelScope/yayi-7b-llama2",
        },
        "Yayi-13B": {
            DownloadSource.DEFAULT: "wenge-research/yayi-13b-llama2",
            DownloadSource.MODELSCOPE: "AI-ModelScope/yayi-13b-llama2",
        },
    },
    template="yayi",
)


register_model_group(
    models={
        "Yi-6B": {
            DownloadSource.DEFAULT: "01-ai/Yi-6B",
            DownloadSource.MODELSCOPE: "01ai/Yi-6B",
        },
        "Yi-9B": {
            DownloadSource.DEFAULT: "01-ai/Yi-9B",
            DownloadSource.MODELSCOPE: "01ai/Yi-9B",
        },
        "Yi-34B": {
            DownloadSource.DEFAULT: "01-ai/Yi-34B",
            DownloadSource.MODELSCOPE: "01ai/Yi-34B",
        },
        "Yi-6B-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-6B-Chat",
            DownloadSource.MODELSCOPE: "01ai/Yi-6B-Chat",
        },
        "Yi-34B-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-34B-Chat",
            DownloadSource.MODELSCOPE: "01ai/Yi-34B-Chat",
        },
        "Yi-6B-int8-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-6B-Chat-8bits",
            DownloadSource.MODELSCOPE: "01ai/Yi-6B-Chat-8bits",
        },
        "Yi-6B-int4-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-6B-Chat-4bits",
            DownloadSource.MODELSCOPE: "01ai/Yi-6B-Chat-4bits",
        },
        "Yi-34B-int8-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-34B-Chat-8bits",
            DownloadSource.MODELSCOPE: "01ai/Yi-34B-Chat-8bits",
        },
        "Yi-34B-int4-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-34B-Chat-4bits",
            DownloadSource.MODELSCOPE: "01ai/Yi-34B-Chat-4bits",
        },
        "Yi-1.5-6B": {
            DownloadSource.DEFAULT: "01-ai/Yi-1.5-6B",
            DownloadSource.MODELSCOPE: "01ai/Yi-1.5-6B",
        },
        "Yi-1.5-9B": {
            DownloadSource.DEFAULT: "01-ai/Yi-1.5-9B",
            DownloadSource.MODELSCOPE: "01ai/Yi-1.5-9B",
        },
        "Yi-1.5-34B": {
            DownloadSource.DEFAULT: "01-ai/Yi-1.5-34B",
            DownloadSource.MODELSCOPE: "01ai/Yi-1.5-34B",
        },
        "Yi-1.5-6B-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-1.5-6B-Chat",
            DownloadSource.MODELSCOPE: "01ai/Yi-1.5-6B-Chat",
        },
        "Yi-1.5-9B-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-1.5-9B-Chat",
            DownloadSource.MODELSCOPE: "01ai/Yi-1.5-9B-Chat",
        },
        "Yi-1.5-34B-Chat": {
            DownloadSource.DEFAULT: "01-ai/Yi-1.5-34B-Chat",
            DownloadSource.MODELSCOPE: "01ai/Yi-1.5-34B-Chat",
        },
    },
    template="yi",
)


register_model_group(
    models={
        "YiVL-6B-Chat": {
            DownloadSource.DEFAULT: "BUAADreamer/Yi-VL-6B-hf",
        },
        "YiVL-34B-Chat": {
            DownloadSource.DEFAULT: "BUAADreamer/Yi-VL-34B-hf",
        },
    },
    template="yi_vl",
    vision=True,
)


register_model_group(
    models={
        "Yuan2-2B-Chat": {
            DownloadSource.DEFAULT: "IEITYuan/Yuan2-2B-hf",
            DownloadSource.MODELSCOPE: "YuanLLM/Yuan2.0-2B-hf",
        },
        "Yuan2-51B-Chat": {
            DownloadSource.DEFAULT: "IEITYuan/Yuan2-51B-hf",
            DownloadSource.MODELSCOPE: "YuanLLM/Yuan2.0-51B-hf",
        },
        "Yuan2-102B-Chat": {
            DownloadSource.DEFAULT: "IEITYuan/Yuan2-102B-hf",
            DownloadSource.MODELSCOPE: "YuanLLM/Yuan2.0-102B-hf",
        },
    },
    template="yuan",
)


register_model_group(
    models={
        "Zephyr-7B-Alpha-Chat": {
            DownloadSource.DEFAULT: "HuggingFaceH4/zephyr-7b-alpha",
            DownloadSource.MODELSCOPE: "AI-ModelScope/zephyr-7b-alpha",
        },
        "Zephyr-7B-Beta-Chat": {
            DownloadSource.DEFAULT: "HuggingFaceH4/zephyr-7b-beta",
            DownloadSource.MODELSCOPE: "modelscope/zephyr-7b-beta",
        },
        "Zephyr-141B-ORPO-Chat": {
            DownloadSource.DEFAULT: "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
        },
    },
    template="zephyr",
)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295

代码中提到的大型模型名称包括：

Baichuan-7B-Base
Baichuan-13B-Base
Baichuan-13B-Chat
Baichuan2-7B-Base
Baichuan2-13B-Base
Baichuan2-7B-Chat
Baichuan2-13B-Chat
BLOOM-560M
BLOOM-3B
BLOOM-7B1
BLOOMZ-560M
BLOOMZ-3B
BLOOMZ-7B1-mt
BlueLM-7B-Base
BlueLM-7B-Chat
Breeze-7B
Breeze-7B-Chat
ChatGLM2-6B-Chat
ChatGLM3-6B-Base
ChatGLM3-6B-Chat
ChineseLLaMA2-1.3B
ChineseLLaMA2-7B
ChineseLLaMA2-13B
ChineseLLaMA2-1.3B-Chat
ChineseLLaMA2-7B-Chat
ChineseLLaMA2-13B-Chat
CommandR-35B-Chat
CommandR-Plus-104B-Chat
CommandR-35B-4bit-Chat
CommandR-Plus-104B-4bit-Chat
DBRX-132B-Base
DBRX-132B-Chat
DeepSeek-LLM-7B-Base
DeepSeek-LLM-67B-Base
DeepSeek-LLM-7B-Chat
DeepSeek-LLM-67B-Chat
DeepSeek-Math-7B-Base
DeepSeek-Math-7B-Chat
DeepSeek-MoE-16B-Base
DeepSeek-MoE-16B-v2-Base
DeepSeek-MoE-236B-Base
DeepSeek-MoE-16B-Chat
DeepSeek-MoE-16B-v2-Chat
DeepSeek-MoE-236B-Chat
DeepSeekCoder-6.7B-Base
DeepSeekCoder-7B-Base
DeepSeekCoder-33B-Base
DeepSeekCoder-6.7B-Chat
DeepSeekCoder-7B-Chat
DeepSeekCoder-33B-Chat
Falcon-7B
Falcon-11B
Falcon-40B
Falcon-180B
Falcon-7B-Chat
Falcon-40B-Chat
Falcon-180B-Chat
Gemma-2B
Gemma-7B
Gemma-2B-Chat
Gemma-7B-Chat
CodeGemma-2B
CodeGemma-7B
CodeGemma-7B-Chat
InternLM-7B
InternLM-20B
InternLM-7B-Chat
InternLM-20B-Chat
InternLM2-7B
InternLM2-20B
InternLM2-7B-Chat
InternLM2-20B-Chat
Jambda-v0.1
LingoWhale-8B
LLaMA-7B
LLaMA-13B
LLaMA-30B
LLaMA-65B
LLaMA2-7B
LLaMA2-13B
LLaMA2-70B
LLaMA2-7B-Chat
LLaMA2-13B-Chat
LLaMA2-70B-Chat
LLaMA3-8B
LLaMA3-70B
LLaMA3-8B-Chat
LLaMA3-70B-Chat
LLaMA3-8B-Chinese-Chat
LLaMA3-70B-Chinese-Chat
LLaVA1.5-7B-Chat
LLaVA1.5-13B-Chat
Mistral-7B-v0.1
Mistral-7B-v0.1-Chat
Mistral-7B-v0.2
Mistral-7B-v0.2-Chat
Mixtral-8x7B-v0.1
Mixtral-8x7B-v0.1-Chat
Mixtral-8x22B-v0.1
Mixtral-8x22B-v0.1-Chat
OLMo-1B
OLMo-7B
OLMo-1.7-7B
OpenChat3.5-7B-Chat
Orion-14B-Base
Orion-14B-Chat
Orion-14B-Long-Chat
Orion-14B-RAG-Chat
Orion-14B-Plugin-Chat
PaliGemma-3B-pt-224
PaliGemma-3B-pt-448
PaliGemma-3B-pt-896
PaliGemma-3B-mix-224
PaliGemma-3B-mix-448
Phi-1.5-1.3B
Phi-2-2.7B
Phi3-3.8B-4k-Chat
Phi3-3.8B-128k-Chat
Qwen-1.8B
Qwen-7B
Qwen-14B
Qwen-72B
Qwen-1.8B-Chat
Qwen-7B-Chat
Qwen-14B-Chat
Qwen-72B-Chat
Qwen-1.8B-int8-Chat
Qwen-1.8B-int4-Chat
Qwen-7B-int8-Chat
Qwen-7B-int4-Chat
Qwen-14B-int8-Chat
Qwen-14B-int4-Chat
Qwen-72B-int8-Chat
Qwen-72B-int4-Chat
Qwen1.5-0.5B
Qwen1.5-1.8B
Qwen1.5-4B
Qwen1.5-7B
Qwen1.5-14B
Qwen1.5-32B
Qwen1.5-72B
Qwen1.5-110B
Qwen1.5-MoE-A2.7B
Qwen1.5-Code-7B
Qwen1.5-0.5B-Chat
Qwen1.5-1.8B-Chat
Qwen1.5-4B-Chat
Qwen1.5-7B-Chat
Qwen1.5-14B-Chat
Qwen1.5-32B-Chat
Qwen1.5-72B-Chat
Qwen1.5-110B-Chat
Qwen1.5-MoE-A2.7B-Chat
Qwen1.5-Code-7B-Chat
Qwen1.5-0.5B-int8-Chat
Qwen1.5-0.5B-int4-Chat
Qwen1.5-1.8B-int8-Chat
Qwen1.5-1.8B-int4-Chat
Qwen1.5-4B-int8-Chat
Qwen1.5-4B-int4-Chat
Qwen1.5-7B-int8-Chat
Qwen1.5-7B-int4-Chat
Qwen1.5-14B-int8-Chat
Qwen1.5-14B-int4-Chat
Qwen1.5-32B-int4-Chat
Qwen1.5-72B-int8-Chat
Qwen1.5-72B-int4-Chat
Qwen1.5-110B-int4-Chat
Qwen1.5-MoE-A2.7B-int4-Chat
Qwen1.5-Code-7B-int4-Chat
SOLAR-10.7B
SOLAR-10.7B-Chat
Skywork-13B-Base
StarCoder2-3B
StarCoder2-7B
StarCoder2-15B
Vicuna1.5-7B-Chat
Vicuna1.5-13B-Chat
XuanYuan-6B
XuanYuan-70B
XuanYuan-2-70B
XuanYuan-6B-Chat
XuanYuan-70B-Chat
XuanYuan-2-70B-Chat
XuanYuan-6B-int8-Chat
XuanYuan-6B-int4-Chat
XuanYuan-70B-int8-Chat
XuanYuan-70B-int4-Chat
XuanYuan-2-70B-int8-Chat
XuanYuan-2-70B-int4-Chat
XVERSE-7B
XVERSE-13B
XVERSE-65B
XVERSE-65B-2
XVERSE-7B-Chat
XVERSE-13B-Chat
XVERSE-65B-Chat
XVERSE-MoE-A4.2B
XVERSE-7B-int8-Chat
XVERSE-7B-int4-Chat
XVERSE-13B-int8-Chat
XVERSE-13B-int4-Chat
XVERSE-65B-int4-Chat
Yayi-7B
Yayi-13B
Yi-6B
Yi-9B
Yi-34B
Yi-6B-Chat
Yi-34B-Chat
Yi-6B-int8-Chat
Yi-6B-int4-Chat
Yi-34B-int8-Chat
Yi-34B-int4-Chat
Yi-1.5-6B
Yi-1.5-9B
Yi-1.5-34B
Yi-1.5-6B-Chat
Yi-1.5-9B-Chat
Yi-1.5-34B-Chat
YiVL-6B-Chat
YiVL-34B-Chat
Yuan2-2B-Chat
Yuan2-51B-Chat
Yuan2-102B-Chat
Zephyr-7B-Alpha-Chat
Zephyr-7B-Beta-Chat
Zephyr-141B-ORPO-Chat

大模型技术分享

在这里插入图片描述

《企业级生成式人工智能LLM大模型技术、算法及案例实战》线上高级研修讲座

模块一：Generative AI 原理本质、技术内核及工程实践周期详解
模块二：工业级 Prompting 技术内幕及端到端的基于LLM 的会议助理实战
模块三：三大 Llama 2 模型详解及实战构建安全可靠的智能对话系统
模块四：生产环境下 GenAI/LLMs 的五大核心问题及构建健壮的应用实战
模块五：大模型应用开发技术：Agentic-based 应用技术及案例实战
模块六：LLM 大模型微调及模型 Quantization 技术及案例实战
模块七：大模型高效微调 PEFT 算法、技术、流程及代码实战进阶
模块八：LLM 模型对齐技术、流程及进行文本Toxicity 分析实战
模块九：构建安全的 GenAI/LLMs 核心技术Red Teaming 解密实战
模块十：构建可信赖的企业私有安全大模型Responsible AI 实战 
1
2
3
4
5
6
7
8
9
10

Llama3关键技术深度解析与构建Responsible AI、算法及开发落地实战

1、Llama开源模型家族大模型技术、工具和多模态详解：学员将深入了解Meta Llama 3的创新之处，比如其在语言模型技术上的突破，并学习到如何在Llama 3中构建trust and safety AI。他们将详细了解Llama 3的五大技术分支及工具，以及如何在AWS上实战Llama指令微调的案例。
2、解密Llama 3 Foundation Model模型结构特色技术及代码实现：深入了解Llama 3中的各种技术，比如Tiktokenizer、KV Cache、Grouped Multi-Query Attention等。通过项目二逐行剖析Llama 3的源码，加深对技术的理解。
3、解密Llama 3 Foundation Model模型结构核心技术及代码实现：SwiGLU Activation Function、FeedForward Block、Encoder Block等。通过项目三学习Llama 3的推理及Inferencing代码，加强对技术的实践理解。
4、基于LangGraph on Llama 3构建Responsible AI实战体验：通过项目四在Llama 3上实战基于LangGraph的Responsible AI项目。他们将了解到LangGraph的三大核心组件、运行机制和流程步骤，从而加强对Responsible AI的实践能力。
5、Llama模型家族构建技术构建安全可信赖企业级AI应用内幕详解：深入了解构建安全可靠的企业级AI应用所需的关键技术，比如Code Llama、Llama Guard等。项目五实战构建安全可靠的对话智能项目升级版，加强对安全性的实践理解。
6、Llama模型家族Fine-tuning技术与算法实战：学员将学习Fine-tuning技术与算法，比如Supervised Fine-Tuning(SFT)、Reward Model技术、PPO算法、DPO算法等。项目六动手实现PPO及DPO算法，加强对算法的理解和应用能力。
7、Llama模型家族基于AI反馈的强化学习技术解密：深入学习Llama模型家族基于AI反馈的强化学习技术，比如RLAIF和RLHF。项目七实战基于RLAIF的Constitutional AI。
8、Llama 3中的DPO原理、算法、组件及具体实现及算法进阶：学习Llama 3中结合使用PPO和DPO算法，剖析DPO的原理和工作机制，详细解析DPO中的关键算法组件，并通过综合项目八从零开始动手实现和测试DPO算法，同时课程将解密DPO进阶技术Iterative DPO及IPO算法。
9、Llama模型家族Safety设计与实现：在这个模块中，学员将学习Llama模型家族的Safety设计与实现，比如Safety in Pretraining、Safety Fine-Tuning等。构建安全可靠的GenAI/LLMs项目开发。
10、Llama 3构建可信赖的企业私有安全大模型Responsible AI系统：构建可信赖的企业私有安全大模型Responsible AI系统，掌握Llama 3的Constitutional AI、Red Teaming。

解码Sora架构、技术及应用

一、为何Sora通往AGI道路的里程碑？
1，探索从大规模语言模型(LLM)到大规模视觉模型(LVM)的关键转变，揭示其在实现通用人工智能(AGI)中的作用。
2，展示Visual Data和Text Data结合的成功案例，解析Sora在此过程中扮演的关键角色。
3，详细介绍Sora如何依据文本指令生成具有三维一致性(3D consistency)的视频内容。 4，解析Sora如何根据图像或视频生成高保真内容的技术路径。
5，探讨Sora在不同应用场景中的实践价值及其面临的挑战和局限性。

二、解码Sora架构原理
1，DiT (Diffusion Transformer)架构详解
2，DiT是如何帮助Sora实现Consistent、Realistic、Imaginative视频内容的？
3，探讨为何选用Transformer作为Diffusion的核心网络，而非技术如U-Net。
4，DiT的Patchification原理及流程，揭示其在处理视频和图像数据中的重要性。
5，Conditional Diffusion过程详解，及其在内容生成过程中的作用。
三、解码Sora关键技术解密
1，Sora如何利用Transformer和Diffusion技术理解物体间的互动，及其对模拟复杂互动场景的重要性。
2，为何说Space-time patches是Sora技术的核心，及其对视频生成能力的提升作用。
3，Spacetime latent patches详解，探讨其在视频压缩和生成中的关键角色。
4，Sora Simulator如何利用Space-time patches构建digital和physical世界，及其对模拟真实世界变化的能力。
5，Sora如何实现faithfully按照用户输入文本而生成内容，探讨背后的技术与创新。
6，Sora为何依据abstract concept而不是依据具体的pixels进行内容生成，及其对模型生成质量与多样性的影响。

声明：本文内容由网友自发贡献，不代表【wpsshop博客】立场，版权归原作者所有，本站不承担相应法律责任。如您发现有侵权的内容，请联系我们。转载请注明出处：https://www.wpsshop.cn/w/小蓝xlanll/article/detail/644551