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model.py
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# Copyright (c) Alibaba, Inc. and its affiliates.
import inspect
import math
import os
import sys
from contextlib import contextmanager, nullcontext
from functools import partial, update_wrapper, wraps
from types import MethodType
from typing import Any, Callable, Dict, List, Literal, NamedTuple, Optional, Tuple, Type, Union
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
import transformers
from accelerate.utils import find_device
from modelscope import snapshot_download
from modelscope.hub.utils.utils import get_cache_dir
from packaging import version
from transformers import (AutoConfig, AutoModel, AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig,
GenerationConfig, GPTQConfig, PretrainedConfig, PreTrainedModel, PreTrainedTokenizerBase)
from transformers.dynamic_module_utils import get_class_from_dynamic_module
from transformers.models.auto.tokenization_auto import get_tokenizer_config
from transformers.utils import is_torch_bf16_gpu_available, strtobool
from transformers.utils.versions import require_version
from swift import get_logger
from swift.utils import get_dist_setting, safe_ddp_context, subprocess_run, use_torchacc
from swift.utils.module_mapping import get_regex_for_mm_default_lora
from .template import TemplateType, get_env_args
from .utils import get_max_model_len, get_rope_scaling, is_unsloth_available, set_rope_scaling, to_device
logger = get_logger()
# Model Home: 'https://modelscope.cn/models/{model_id_or_path}'
MODEL_MAPPING: Dict[str, Dict[str, Any]] = {}
class ModelType:
# qwen
qwen_1_8b = 'qwen-1_8b'
qwen_1_8b_chat = 'qwen-1_8b-chat'
qwen_1_8b_chat_int4 = 'qwen-1_8b-chat-int4'
qwen_1_8b_chat_int8 = 'qwen-1_8b-chat-int8'
qwen_7b = 'qwen-7b'
qwen_7b_chat = 'qwen-7b-chat'
qwen_7b_chat_int4 = 'qwen-7b-chat-int4'
qwen_7b_chat_int8 = 'qwen-7b-chat-int8'
qwen_14b = 'qwen-14b'
qwen_14b_chat = 'qwen-14b-chat'
qwen_14b_chat_int4 = 'qwen-14b-chat-int4'
qwen_14b_chat_int8 = 'qwen-14b-chat-int8'
qwen_72b = 'qwen-72b'
qwen_72b_chat = 'qwen-72b-chat'
qwen_72b_chat_int4 = 'qwen-72b-chat-int4'
qwen_72b_chat_int8 = 'qwen-72b-chat-int8'
# modelscope_agent
modelscope_agent_7b = 'modelscope-agent-7b'
modelscope_agent_14b = 'modelscope-agent-14b'
# qwen1.5
qwen1half_0_5b = 'qwen1half-0_5b'
qwen1half_1_8b = 'qwen1half-1_8b'
qwen1half_4b = 'qwen1half-4b'
qwen1half_7b = 'qwen1half-7b'
qwen1half_14b = 'qwen1half-14b'
qwen1half_32b = 'qwen1half-32b'
qwen1half_72b = 'qwen1half-72b'
qwen1half_110b = 'qwen1half-110b'
codeqwen1half_7b = 'codeqwen1half-7b'
qwen1half_moe_a2_7b = 'qwen1half-moe-a2_7b'
qwen1half_0_5b_chat = 'qwen1half-0_5b-chat'
qwen1half_1_8b_chat = 'qwen1half-1_8b-chat'
qwen1half_4b_chat = 'qwen1half-4b-chat'
qwen1half_7b_chat = 'qwen1half-7b-chat'
qwen1half_14b_chat = 'qwen1half-14b-chat'
qwen1half_32b_chat = 'qwen1half-32b-chat'
qwen1half_72b_chat = 'qwen1half-72b-chat'
qwen1half_110b_chat = 'qwen1half-110b-chat'
qwen1half_moe_a2_7b_chat = 'qwen1half-moe-a2_7b-chat'
codeqwen1half_7b_chat = 'codeqwen1half-7b-chat'
# qwen1.5 gptq
qwen1half_0_5b_chat_int4 = 'qwen1half-0_5b-chat-int4'
qwen1half_1_8b_chat_int4 = 'qwen1half-1_8b-chat-int4'
qwen1half_4b_chat_int4 = 'qwen1half-4b-chat-int4'
qwen1half_7b_chat_int4 = 'qwen1half-7b-chat-int4'
qwen1half_14b_chat_int4 = 'qwen1half-14b-chat-int4'
qwen1half_32b_chat_int4 = 'qwen1half-32b-chat-int4'
qwen1half_72b_chat_int4 = 'qwen1half-72b-chat-int4'
qwen1half_110b_chat_int4 = 'qwen1half-110b-chat-int4'
qwen1half_0_5b_chat_int8 = 'qwen1half-0_5b-chat-int8'
qwen1half_1_8b_chat_int8 = 'qwen1half-1_8b-chat-int8'
qwen1half_4b_chat_int8 = 'qwen1half-4b-chat-int8'
qwen1half_7b_chat_int8 = 'qwen1half-7b-chat-int8'
qwen1half_14b_chat_int8 = 'qwen1half-14b-chat-int8'
qwen1half_72b_chat_int8 = 'qwen1half-72b-chat-int8'
qwen1half_moe_a2_7b_chat_int4 = 'qwen1half-moe-a2_7b-chat-int4'
# qwen1.5 awq
qwen1half_0_5b_chat_awq = 'qwen1half-0_5b-chat-awq'
qwen1half_1_8b_chat_awq = 'qwen1half-1_8b-chat-awq'
qwen1half_4b_chat_awq = 'qwen1half-4b-chat-awq'
qwen1half_7b_chat_awq = 'qwen1half-7b-chat-awq'
qwen1half_14b_chat_awq = 'qwen1half-14b-chat-awq'
qwen1half_32b_chat_awq = 'qwen1half-32b-chat-awq'
qwen1half_72b_chat_awq = 'qwen1half-72b-chat-awq'
qwen1half_110b_chat_awq = 'qwen1half-110b-chat-awq'
codeqwen1half_7b_chat_awq = 'codeqwen1half-7b-chat-awq'
# qwen2
qwen2_0_5b = 'qwen2-0_5b'
qwen2_0_5b_instruct = 'qwen2-0_5b-instruct'
qwen2_0_5b_instruct_int4 = 'qwen2-0_5b-instruct-int4'
qwen2_0_5b_instruct_int8 = 'qwen2-0_5b-instruct-int8'
qwen2_0_5b_instruct_awq = 'qwen2-0_5b-instruct-awq'
qwen2_1_5b = 'qwen2-1_5b'
qwen2_1_5b_instruct = 'qwen2-1_5b-instruct'
qwen2_1_5b_instruct_int4 = 'qwen2-1_5b-instruct-int4'
qwen2_1_5b_instruct_int8 = 'qwen2-1_5b-instruct-int8'
qwen2_1_5b_instruct_awq = 'qwen2-1_5b-instruct-awq'
qwen2_7b = 'qwen2-7b'
qwen2_7b_instruct = 'qwen2-7b-instruct'
qwen2_7b_instruct_int4 = 'qwen2-7b-instruct-int4'
qwen2_7b_instruct_int8 = 'qwen2-7b-instruct-int8'
qwen2_7b_instruct_awq = 'qwen2-7b-instruct-awq'
qwen2_72b = 'qwen2-72b'
qwen2_72b_instruct = 'qwen2-72b-instruct'
qwen2_72b_instruct_int4 = 'qwen2-72b-instruct-int4'
qwen2_72b_instruct_int8 = 'qwen2-72b-instruct-int8'
qwen2_72b_instruct_awq = 'qwen2-72b-instruct-awq'
qwen2_57b_a14b = 'qwen2-57b-a14b'
qwen2_57b_a14b_instruct = 'qwen2-57b-a14b-instruct'
qwen2_57b_a14b_instruct_int4 = 'qwen2-57b-a14b-instruct-int4'
qwen2_math_1_5b = 'qwen2-math-1_5b'
qwen2_math_1_5b_instruct = 'qwen2-math-1_5b-instruct'
qwen2_math_7b = 'qwen2-math-7b'
qwen2_math_7b_instruct = 'qwen2-math-7b-instruct'
qwen2_math_72b = 'qwen2-math-72b'
qwen2_math_72b_instruct = 'qwen2-math-72b-instruct'
# qwen2.5
qwen2_5_0_5b = 'qwen2_5-0_5b'
qwen2_5_1_5b = 'qwen2_5-1_5b'
qwen2_5_3b = 'qwen2_5-3b'
qwen2_5_7b = 'qwen2_5-7b'
qwen2_5_14b = 'qwen2_5-14b'
qwen2_5_32b = 'qwen2_5-32b'
qwen2_5_72b = 'qwen2_5-72b'
qwen2_5_0_5b_instruct = 'qwen2_5-0_5b-instruct'
qwen2_5_1_5b_instruct = 'qwen2_5-1_5b-instruct'
qwen2_5_3b_instruct = 'qwen2_5-3b-instruct'
qwen2_5_7b_instruct = 'qwen2_5-7b-instruct'
qwen2_5_14b_instruct = 'qwen2_5-14b-instruct'
qwen2_5_32b_instruct = 'qwen2_5-32b-instruct'
qwen2_5_72b_instruct = 'qwen2_5-72b-instruct'
qwen2_5_0_5b_instruct_gptq_int4 = 'qwen2_5-0_5b-instruct-gptq-int4'
qwen2_5_1_5b_instruct_gptq_int4 = 'qwen2_5-1_5b-instruct-gptq-int4'
qwen2_5_3b_instruct_gptq_int4 = 'qwen2_5-3b-instruct-gptq-int4'
qwen2_5_7b_instruct_gptq_int4 = 'qwen2_5-7b-instruct-gptq-int4'
qwen2_5_14b_instruct_gptq_int4 = 'qwen2_5-14b-instruct-gptq-int4'
qwen2_5_32b_instruct_gptq_int4 = 'qwen2_5-32b-instruct-gptq-int4'
qwen2_5_72b_instruct_gptq_int4 = 'qwen2_5-72b-instruct-gptq-int4'
qwen2_5_0_5b_instruct_gptq_int8 = 'qwen2_5-0_5b-instruct-gptq-int8'
qwen2_5_1_5b_instruct_gptq_int8 = 'qwen2_5-1_5b-instruct-gptq-int8'
qwen2_5_3b_instruct_gptq_int8 = 'qwen2_5-3b-instruct-gptq-int8'
qwen2_5_7b_instruct_gptq_int8 = 'qwen2_5-7b-instruct-gptq-int8'
qwen2_5_14b_instruct_gptq_int8 = 'qwen2_5-14b-instruct-gptq-int8'
qwen2_5_32b_instruct_gptq_int8 = 'qwen2_5-32b-instruct-gptq-int8'
qwen2_5_72b_instruct_gptq_int8 = 'qwen2_5-72b-instruct-gptq-int8'
qwen2_5_0_5b_instruct_awq = 'qwen2_5-0_5b-instruct-awq'
qwen2_5_1_5b_instruct_awq = 'qwen2_5-1_5b-instruct-awq'
qwen2_5_3b_instruct_awq = 'qwen2_5-3b-instruct-awq'
qwen2_5_7b_instruct_awq = 'qwen2_5-7b-instruct-awq'
qwen2_5_14b_instruct_awq = 'qwen2_5-14b-instruct-awq'
qwen2_5_32b_instruct_awq = 'qwen2_5-32b-instruct-awq'
qwen2_5_72b_instruct_awq = 'qwen2_5-72b-instruct-awq'
# qwen2.5 math
qwen2_5_math_1_5b = 'qwen2_5-math-1_5b'
qwen2_5_math_7b = 'qwen2_5-math-7b'
qwen2_5_math_72b = 'qwen2_5-math-72b'
qwen2_5_math_1_5b_instruct = 'qwen2_5-math-1_5b-instruct'
qwen2_5_math_7b_instruct = 'qwen2_5-math-7b-instruct'
qwen2_5_math_72b_instruct = 'qwen2_5-math-72b-instruct'
# qwen2.5 coder
qwen2_5_coder_0_5b = 'qwen2_5-coder-0_5b'
qwen2_5_coder_0_5b_instruct = 'qwen2_5-coder-0_5b-instruct'
qwen2_5_coder_0_5b_instruct_gptq_int4 = 'qwen2_5-coder-0_5b-instruct-gptq-int4'
qwen2_5_coder_0_5b_instruct_gptq_int8 = 'qwen2_5-coder-0_5b-instruct-gptq-int8'
qwen2_5_coder_0_5b_instruct_awq = 'qwen2_5-coder-0_5b-instruct-awq'
qwen2_5_coder_1_5b = 'qwen2_5-coder-1_5b'
qwen2_5_coder_1_5b_instruct = 'qwen2_5-coder-1_5b-instruct'
qwen2_5_coder_1_5b_instruct_gptq_int4 = 'qwen2_5-coder-1_5b-instruct-gptq-int4'
qwen2_5_coder_1_5b_instruct_gptq_int8 = 'qwen2_5-coder-1_5b-instruct-gptq-int8'
qwen2_5_coder_1_5b_instruct_awq = 'qwen2_5-coder-1_5b-instruct-awq'
qwen2_5_coder_3b = 'qwen2_5-coder-3b'
qwen2_5_coder_3b_instruct = 'qwen2_5-coder-3b-instruct'
qwen2_5_coder_3b_instruct_gptq_int4 = 'qwen2_5-coder-3b-instruct-gptq-int4'
qwen2_5_coder_3b_instruct_gptq_int8 = 'qwen2_5-coder-3b-instruct-gptq-int8'
qwen2_5_coder_3b_instruct_awq = 'qwen2_5-coder-3b-instruct-awq'
qwen2_5_coder_7b = 'qwen2_5-coder-7b'
qwen2_5_coder_7b_instruct = 'qwen2_5-coder-7b-instruct'
qwen2_5_coder_7b_instruct_gptq_int4 = 'qwen2_5-coder-7b-instruct-gptq-int4'
qwen2_5_coder_7b_instruct_gptq_int8 = 'qwen2_5-coder-7b-instruct-gptq-int8'
qwen2_5_coder_7b_instruct_awq = 'qwen2_5-coder-7b-instruct-awq'
qwen2_5_coder_14b = 'qwen2_5-coder-14b'
qwen2_5_coder_14b_instruct = 'qwen2_5-coder-14b-instruct'
qwen2_5_coder_14b_instruct_gptq_int4 = 'qwen2_5-coder-14b-instruct-gptq-int4'
qwen2_5_coder_14b_instruct_gptq_int8 = 'qwen2_5-coder-14b-instruct-gptq-int8'
qwen2_5_coder_14b_instruct_awq = 'qwen2_5-coder-14b-instruct-awq'
qwen2_5_coder_32b = 'qwen2_5-coder-32b'
qwen2_5_coder_32b_instruct = 'qwen2_5-coder-32b-instruct'
qwen2_5_coder_32b_instruct_gptq_int4 = 'qwen2_5-coder-32b-instruct-gptq-int4'
qwen2_5_coder_32b_instruct_gptq_int8 = 'qwen2_5-coder-32b-instruct-gptq-int8'
qwen2_5_coder_32b_instruct_awq = 'qwen2_5-coder-32b-instruct-awq'
# qwen-vl
qwen_vl = 'qwen-vl'
qwen_vl_chat = 'qwen-vl-chat'
qwen_vl_chat_int4 = 'qwen-vl-chat-int4'
# qwen-audio
qwen_audio = 'qwen-audio'
qwen_audio_chat = 'qwen-audio-chat'
qwen2_audio_7b = 'qwen2-audio-7b'
qwen2_audio_7b_instruct = 'qwen2-audio-7b-instruct'
qwen2_vl_2b = 'qwen2-vl-2b'
qwen2_vl_2b_instruct = 'qwen2-vl-2b-instruct'
qwen2_vl_2b_instruct_gptq_int4 = 'qwen2-vl-2b-instruct-gptq-int4'
qwen2_vl_2b_instruct_gptq_int8 = 'qwen2-vl-2b-instruct-gptq-int8'
qwen2_vl_2b_instruct_awq = 'qwen2-vl-2b-instruct-awq'
qwen2_vl_7b = 'qwen2-vl-7b'
qwen2_vl_7b_instruct = 'qwen2-vl-7b-instruct'
qwen2_vl_7b_instruct_gptq_int4 = 'qwen2-vl-7b-instruct-gptq-int4'
qwen2_vl_7b_instruct_gptq_int8 = 'qwen2-vl-7b-instruct-gptq-int8'
qwen2_vl_7b_instruct_awq = 'qwen2-vl-7b-instruct-awq'
qwen2_vl_72b = 'qwen2-vl-72b'
qwen2_vl_72b_instruct = 'qwen2-vl-72b-instruct'
qwen2_vl_72b_instruct_gptq_int4 = 'qwen2-vl-72b-instruct-gptq-int4'
qwen2_vl_72b_instruct_gptq_int8 = 'qwen2-vl-72b-instruct-gptq-int8'
qwen2_vl_72b_instruct_awq = 'qwen2-vl-72b-instruct-awq'
# chatglm
chatglm2_6b = 'chatglm2-6b'
chatglm2_6b_32k = 'chatglm2-6b-32k'
chatglm3_6b_base = 'chatglm3-6b-base'
chatglm3_6b = 'chatglm3-6b'
chatglm3_6b_32k = 'chatglm3-6b-32k'
chatglm3_6b_128k = 'chatglm3-6b-128k'
codegeex2_6b = 'codegeex2-6b'
glm4v_9b_chat = 'glm4v-9b-chat'
glm4_9b = 'glm4-9b'
glm4_9b_chat = 'glm4-9b-chat'
glm4_9b_chat_1m = 'glm4-9b-chat-1m'
codegeex4_9b_chat = 'codegeex4-9b-chat'
# llama2
llama2_7b = 'llama2-7b'
llama2_7b_chat = 'llama2-7b-chat'
llama2_13b = 'llama2-13b'
llama2_13b_chat = 'llama2-13b-chat'
llama2_70b = 'llama2-70b'
llama2_70b_chat = 'llama2-70b-chat'
llama2_7b_aqlm_2bit_1x16 = 'llama2-7b-aqlm-2bit-1x16' # aqlm
# llama3
llama3_8b = 'llama3-8b'
llama3_8b_instruct = 'llama3-8b-instruct'
llama3_8b_instruct_int4 = 'llama3-8b-instruct-int4'
llama3_8b_instruct_int8 = 'llama3-8b-instruct-int8'
llama3_8b_instruct_awq = 'llama3-8b-instruct-awq'
llama3_70b = 'llama3-70b'
llama3_70b_instruct = 'llama3-70b-instruct'
llama3_70b_instruct_int4 = 'llama3-70b-instruct-int4'
llama3_70b_instruct_int8 = 'llama3-70b-instruct-int8'
llama3_70b_instruct_awq = 'llama3-70b-instruct-awq'
# llama3.1
llama3_1_8b = 'llama3_1-8b'
llama3_1_8b_instruct = 'llama3_1-8b-instruct'
llama3_1_8b_instruct_awq = 'llama3_1-8b-instruct-awq'
llama3_1_8b_instruct_gptq_int4 = 'llama3_1-8b-instruct-gptq-int4'
llama3_1_8b_instruct_bnb = 'llama3_1-8b-instruct-bnb'
llama3_1_70b = 'llama3_1-70b'
llama3_1_70b_instruct = 'llama3_1-70b-instruct'
llama3_1_70b_instruct_fp8 = 'llama3_1-70b-instruct-fp8'
llama3_1_70b_instruct_awq = 'llama3_1-70b-instruct-awq'
llama3_1_70b_instruct_gptq_int4 = 'llama3_1-70b-instruct-gptq-int4'
llama3_1_70b_instruct_bnb = 'llama3_1-70b-instruct-bnb'
llama3_1_405b = 'llama3_1-405b'
llama3_1_405b_instruct = 'llama3_1-405b-instruct'
llama3_1_405b_instruct_fp8 = 'llama3_1-405b-instruct-fp8'
llama3_1_405b_instruct_awq = 'llama3_1-405b-instruct-awq'
llama3_1_405b_instruct_gptq_int4 = 'llama3_1-405b-instruct-gptq-int4'
llama3_1_405b_instruct_bnb = 'llama3_1-405b-instruct-bnb'
# llama3.1-nemotron
llama3_1_nemotron_70B_instruct_hf = 'llama-3.1-nemotron-70B-instruct-hf'
# llama3.2
llama3_2_1b = 'llama3_2-1b'
llama3_2_1b_instruct = 'llama3_2-1b-instruct'
llama3_2_3b = 'llama3_2-3b'
llama3_2_3b_instruct = 'llama3_2-3b-instruct'
# llama3.2-vision
llama3_2_11b_vision = 'llama3_2-11b-vision'
llama3_2_11b_vision_instruct = 'llama3_2-11b-vision-instruct'
llama3_2_90b_vision = 'llama3_2-90b-vision'
llama3_2_90b_vision_instruct = 'llama3_2-90b-vision-instruct'
# omni
llama3_1_8b_omni = 'llama3_1-8b-omni'
# reflection
reflection_llama_3_1_70b = 'reflection-llama_3_1-70b'
# long writer
longwriter_glm4_9b = 'longwriter-glm4-9b'
longwriter_llama3_1_8b = 'longwriter-llama3_1-8b'
# chinese-llama-alpaca
chinese_llama_2_1_3b = 'chinese-llama-2-1_3b'
chinese_llama_2_7b = 'chinese-llama-2-7b'
chinese_llama_2_7b_16k = 'chinese-llama-2-7b-16k'
chinese_llama_2_7b_64k = 'chinese-llama-2-7b-64k'
chinese_llama_2_13b = 'chinese-llama-2-13b'
chinese_llama_2_13b_16k = 'chinese-llama-2-13b-16k'
chinese_alpaca_2_1_3b = 'chinese-alpaca-2-1_3b'
chinese_alpaca_2_7b = 'chinese-alpaca-2-7b'
chinese_alpaca_2_7b_16k = 'chinese-alpaca-2-7b-16k'
chinese_alpaca_2_7b_64k = 'chinese-alpaca-2-7b-64k'
chinese_alpaca_2_13b = 'chinese-alpaca-2-13b'
chinese_alpaca_2_13b_16k = 'chinese-alpaca-2-13b-16k'
llama_3_chinese_8b = 'llama-3-chinese-8b'
llama_3_chinese_8b_instruct = 'llama-3-chinese-8b-instruct'
# idefics
idefics3_8b_llama3 = 'idefics3-8b-llama3'
# atom
atom_7b = 'atom-7b'
atom_7b_chat = 'atom-7b-chat'
# llava-hf
llava1_5_7b_instruct = 'llava1_5-7b-instruct'
llava1_5_13b_instruct = 'llava1_5-13b-instruct'
llava1_6_mistral_7b_instruct = 'llava1_6-mistral-7b-instruct'
llava1_6_vicuna_7b_instruct = 'llava1_6-vicuna-7b-instruct'
llava1_6_vicuna_13b_instruct = 'llava1_6-vicuna-13b-instruct'
llava1_6_llama3_1_8b_instruct = 'llava1_6-llama3_1-8b-instruct'
llava1_6_yi_34b_instruct = 'llava1_6-yi-34b-instruct'
llama3_llava_next_8b_hf = 'llama3-llava-next-8b-hf'
llava_next_72b_hf = 'llava-next-72b-hf'
llava_next_110b_hf = 'llava-next-110b-hf'
llava_onevision_qwen2_0_5b_ov = 'llava-onevision-qwen2-0_5b-ov'
llava_onevision_qwen2_7b_ov = 'llava-onevision-qwen2-7b-ov'
llava_onevision_qwen2_72b_ov = 'llava-onevision-qwen2-72b-ov'
# llava
llama3_llava_next_8b = 'llama3-llava-next-8b'
llava_next_72b = 'llava-next-72b'
llava_next_110b = 'llava-next-110b'
# llava_next_video-hf
llava_next_video_7b_instruct = 'llava-next-video-7b-instruct'
llava_next_video_7b_32k_instruct = 'llava-next-video-7b-32k-instruct'
llava_next_video_7b_dpo_instruct = 'llava-next-video-7b-dpo-instruct'
llava_next_video_34b_instruct = 'llava-next-video-34b-instruct'
# yi
yi_6b = 'yi-6b'
yi_6b_200k = 'yi-6b-200k'
yi_6b_chat = 'yi-6b-chat'
yi_6b_chat_awq = 'yi-6b-chat-awq'
yi_6b_chat_int8 = 'yi-6b-chat-int8'
yi_9b = 'yi-9b'
yi_9b_200k = 'yi-9b-200k'
yi_34b = 'yi-34b'
yi_34b_200k = 'yi-34b-200k'
yi_34b_chat = 'yi-34b-chat'
yi_34b_chat_awq = 'yi-34b-chat-awq'
yi_34b_chat_int8 = 'yi-34b-chat-int8'
# yi1.5
yi_1_5_6b = 'yi-1_5-6b'
yi_1_5_6b_chat = 'yi-1_5-6b-chat'
yi_1_5_9b = 'yi-1_5-9b'
yi_1_5_9b_chat = 'yi-1_5-9b-chat'
yi_1_5_9b_chat_16k = 'yi-1_5-9b-chat-16k'
yi_1_5_34b = 'yi-1_5-34b'
yi_1_5_34b_chat = 'yi-1_5-34b-chat'
yi_1_5_34b_chat_16k = 'yi-1_5-34b-chat-16k'
yi_1_5_6b_chat_awq_int4 = 'yi-1_5-6b-chat-awq-int4'
yi_1_5_6b_chat_gptq_int4 = 'yi-1_5-6b-chat-gptq-int4'
yi_1_5_9b_chat_awq_int4 = 'yi-1_5-9b-chat-awq-int4'
yi_1_5_9b_chat_gptq_int4 = 'yi-1_5-9b-chat-gptq-int4'
yi_1_5_34b_chat_awq_int4 = 'yi-1_5-34b-chat-awq-int4'
yi_1_5_34b_chat_gptq_int4 = 'yi-1_5-34b-chat-gptq-int4'
# yi-coder
yi_coder_1_5b = 'yi-coder-1_5b'
yi_coder_1_5b_chat = 'yi-coder-1_5b-chat'
yi_coder_9b = 'yi-coder-9b'
yi_coder_9b_chat = 'yi-coder-9b-chat'
# yi-vl
yi_vl_6b_chat = 'yi-vl-6b-chat'
yi_vl_34b_chat = 'yi-vl-34b-chat'
# llava-llama (xtuner)
llava_llama3_8b_v1_1 = 'llava-llama3-8b-v1_1'
# internlm
internlm_7b = 'internlm-7b'
internlm_7b_chat = 'internlm-7b-chat'
internlm_7b_chat_8k = 'internlm-7b-chat-8k'
internlm_20b = 'internlm-20b'
internlm_20b_chat = 'internlm-20b-chat'
# internlm2
internlm2_1_8b = 'internlm2-1_8b'
internlm2_1_8b_sft_chat = 'internlm2-1_8b-sft-chat'
internlm2_1_8b_chat = 'internlm2-1_8b-chat'
internlm2_7b_base = 'internlm2-7b-base'
internlm2_7b = 'internlm2-7b'
internlm2_7b_sft_chat = 'internlm2-7b-sft-chat'
internlm2_7b_chat = 'internlm2-7b-chat'
internlm2_20b_base = 'internlm2-20b-base'
internlm2_20b = 'internlm2-20b'
internlm2_20b_sft_chat = 'internlm2-20b-sft-chat'
internlm2_20b_chat = 'internlm2-20b-chat'
# internlm2.5
internlm2_5_1_8b = 'internlm2_5-1_8b'
internlm2_5_1_8b_chat = 'internlm2_5-1_8b-chat'
internlm2_5_7b = 'internlm2_5-7b'
internlm2_5_7b_chat = 'internlm2_5-7b-chat'
internlm2_5_7b_chat_1m = 'internlm2_5-7b-chat-1m'
internlm2_5_20b = 'internlm2_5-20b'
internlm2_5_20b_chat = 'internlm2_5-20b-chat'
# internlm2-math
internlm2_math_7b = 'internlm2-math-7b'
internlm2_math_7b_chat = 'internlm2-math-7b-chat'
internlm2_math_20b = 'internlm2-math-20b'
internlm2_math_20b_chat = 'internlm2-math-20b-chat'
# internlm-xcomposer2
internlm_xcomposer2_7b_chat = 'internlm-xcomposer2-7b-chat'
internlm_xcomposer2_4khd_7b_chat = 'internlm-xcomposer2-4khd-7b-chat'
internlm_xcomposer2_5_7b_chat = 'internlm-xcomposer2_5-7b-chat'
# internvl
internvl_chat_v1_5 = 'internvl-chat-v1_5'
internvl_chat_v1_5_int8 = 'internvl-chat-v1_5-int8'
mini_internvl_chat_2b_v1_5 = 'mini-internvl-chat-2b-v1_5'
mini_internvl_chat_4b_v1_5 = 'mini-internvl-chat-4b-v1_5'
internvl2_1b = 'internvl2-1b'
internvl2_2b = 'internvl2-2b'
internvl2_4b = 'internvl2-4b'
internvl2_8b = 'internvl2-8b'
internvl2_26b = 'internvl2-26b'
internvl2_40b = 'internvl2-40b'
internvl2_llama3_76b = 'internvl2-llama3-76b'
internvl2_2b_awq = 'internvl2-2b-awq'
internvl2_8b_awq = 'internvl2-8b-awq'
internvl2_26b_awq = 'internvl2-26b-awq'
internvl2_40b_awq = 'internvl2-40b-awq'
internvl2_llama3_76b_awq = 'internvl2-llama3-76b-awq'
# deepseek
deepseek_7b = 'deepseek-7b'
deepseek_7b_chat = 'deepseek-7b-chat'
deepseek_moe_16b = 'deepseek-moe-16b'
deepseek_moe_16b_chat = 'deepseek-moe-16b-chat'
deepseek_67b = 'deepseek-67b'
deepseek_67b_chat = 'deepseek-67b-chat'
# deepseek-coder
deepseek_coder_1_3b = 'deepseek-coder-1_3b'
deepseek_coder_1_3b_instruct = 'deepseek-coder-1_3b-instruct'
deepseek_coder_6_7b = 'deepseek-coder-6_7b'
deepseek_coder_6_7b_instruct = 'deepseek-coder-6_7b-instruct'
deepseek_coder_33b = 'deepseek-coder-33b'
deepseek_coder_33b_instruct = 'deepseek-coder-33b-instruct'
# deepseek2-coder
deepseek_coder_v2_instruct = 'deepseek-coder-v2-instruct'
deepseek_coder_v2_lite_instruct = 'deepseek-coder-v2-lite-instruct'
deepseek_coder_v2 = 'deepseek-coder-v2'
deepseek_coder_v2_lite = 'deepseek-coder-v2-lite'
# deepseek-math
deepseek_math_7b = 'deepseek-math-7b'
deepseek_math_7b_instruct = 'deepseek-math-7b-instruct'
deepseek_math_7b_chat = 'deepseek-math-7b-chat'
# numina-math
numina_math_7b = 'numina-math-7b'
# deepseek-vl
deepseek_janus_1_3b = 'deepseek-janus-1_3b'
deepseek_vl_1_3b_chat = 'deepseek-vl-1_3b-chat'
deepseek_vl_7b_chat = 'deepseek-vl-7b-chat'
# deepseek-v2
deepseek_v2 = 'deepseek-v2'
deepseek_v2_chat = 'deepseek-v2-chat'
deepseek_v2_lite = 'deepseek-v2-lite'
deepseek_v2_lite_chat = 'deepseek-v2-lite-chat'
# deepseek-v2.5
deepseek_v2_5 = 'deepseek-v2_5'
# gemma
gemma_2b = 'gemma-2b'
gemma_7b = 'gemma-7b'
gemma_2b_instruct = 'gemma-2b-instruct'
gemma_7b_instruct = 'gemma-7b-instruct'
gemma2_2b = 'gemma2-2b'
gemma2_9b = 'gemma2-9b'
gemma2_27b = 'gemma2-27b'
gemma2_2b_instruct = 'gemma2-2b-instruct'
gemma2_9b_instruct = 'gemma2-9b-instruct'
gemma2_27b_instruct = 'gemma2-27b-instruct'
ovis1_6_gemma2_9b = 'ovis1_6-gemma2-9b'
# paligemma
paligemma_3b_pt_224 = 'paligemma-3b-pt-224'
paligemma_3b_pt_448 = 'paligemma-3b-pt-448'
paligemma_3b_pt_896 = 'paligemma-3b-pt-896'
paligemma_3b_mix_224 = 'paligemma-3b-mix-224'
paligemma_3b_mix_448 = 'paligemma-3b-mix-448'
# minicpm
minicpm_1b_sft_chat = 'minicpm-1b-sft-chat'
minicpm_2b_sft_chat = 'minicpm-2b-sft-chat'
minicpm_2b_chat = 'minicpm-2b-chat'
minicpm_2b_128k = 'minicpm-2b-128k'
minicpm_moe_8x2b = 'minicpm-moe-8x2b'
minicpm3_4b = 'minicpm3-4b'
# minicpm-v
minicpm_v_3b_chat = 'minicpm-v-3b-chat'
minicpm_v_v2_chat = 'minicpm-v-v2-chat'
minicpm_v_v2_5_chat = 'minicpm-v-v2_5-chat'
minicpm_v_v2_6_chat = 'minicpm-v-v2_6-chat'
# openbuddy
openbuddy_llama_65b_chat = 'openbuddy-llama-65b-chat'
openbuddy_llama2_13b_chat = 'openbuddy-llama2-13b-chat'
openbuddy_llama2_70b_chat = 'openbuddy-llama2-70b-chat'
openbuddy_llama3_8b_chat = 'openbuddy-llama3-8b-chat'
openbuddy_llama3_70b_chat = 'openbuddy-llama3-70b-chat'
openbuddy_mistral_7b_chat = 'openbuddy-mistral-7b-chat'
openbuddy_zephyr_7b_chat = 'openbuddy-zephyr-7b-chat'
openbuddy_deepseek_67b_chat = 'openbuddy-deepseek-67b-chat'
openbuddy_mixtral_moe_7b_chat = 'openbuddy-mixtral-moe-7b-chat'
openbuddy_llama3_1_8b_chat = 'openbuddy-llama3_1-8b-chat'
# mistral
mistral_7b = 'mistral-7b'
mistral_7b_v2 = 'mistral-7b-v2'
mistral_7b_instruct = 'mistral-7b-instruct'
mistral_7b_instruct_v2 = 'mistral-7b-instruct-v2'
mistral_7b_instruct_v3 = 'mistral-7b-instruct-v3'
mistral_nemo_base_2407 = 'mistral-nemo-base-2407'
mistral_nemo_instruct_2407 = 'mistral-nemo-instruct-2407'
mistral_large_instruct_2407 = 'mistral-large-instruct-2407'
mistral_small_instruct_2409 = 'mistral-small-instruct-2409'
mixtral_moe_7b = 'mixtral-moe-7b'
mixtral_moe_7b_instruct = 'mixtral-moe-7b-instruct'
mixtral_moe_7b_aqlm_2bit_1x16 = 'mixtral-moe-7b-aqlm-2bit-1x16' # aqlm
mixtral_moe_8x22b_v1 = 'mixtral-moe-8x22b-v1'
ministral_8b_instruct_2410 = 'ministral-8b-instruct-2410'
pixtral_12b = 'pixtral-12b'
pixtral_large_instruct = 'pixtral-large-instruct'
# wizardlm
wizardlm2_7b_awq = 'wizardlm2-7b-awq'
wizardlm2_8x22b = 'wizardlm2-8x22b'
# baichuan
baichuan_7b = 'baichuan-7b'
baichuan_13b = 'baichuan-13b'
baichuan_13b_chat = 'baichuan-13b-chat'
# baichuan2
baichuan2_7b = 'baichuan2-7b'
baichuan2_7b_chat = 'baichuan2-7b-chat'
baichuan2_7b_chat_int4 = 'baichuan2-7b-chat-int4'
baichuan2_13b = 'baichuan2-13b'
baichuan2_13b_chat = 'baichuan2-13b-chat'
baichuan2_13b_chat_int4 = 'baichuan2-13b-chat-int4'
# owl
mplug_owl2_chat = 'mplug-owl2-chat' # llama
mplug_owl2_1_chat = 'mplug-owl2_1-chat' # qwen
mplug_owl3_1b_chat = 'mplug-owl3-1b-chat'
mplug_owl3_2b_chat = 'mplug-owl3-2b-chat'
mplug_owl3_7b_chat = 'mplug-owl3-7b-chat'
# yuan
yuan2_2b_instruct = 'yuan2-2b-instruct'
yuan2_2b_janus_instruct = 'yuan2-2b-janus-instruct'
yuan2_51b_instruct = 'yuan2-51b-instruct'
yuan2_102b_instruct = 'yuan2-102b-instruct'
yuan2_m32 = 'yuan2-m32'
# xverse
xverse_7b = 'xverse-7b'
xverse_7b_chat = 'xverse-7b-chat'
xverse_13b = 'xverse-13b'
xverse_13b_chat = 'xverse-13b-chat'
xverse_65b = 'xverse-65b'
xverse_65b_v2 = 'xverse-65b-v2'
xverse_65b_chat = 'xverse-65b-chat'
xverse_13b_256k = 'xverse-13b-256k'
xverse_moe_a4_2b = 'xverse-moe-a4_2b'
# orion
orion_14b = 'orion-14b'
orion_14b_chat = 'orion-14b-chat'
# vivo
bluelm_7b = 'bluelm-7b'
bluelm_7b_32k = 'bluelm-7b-32k'
bluelm_7b_chat = 'bluelm-7b-chat'
bluelm_7b_chat_32k = 'bluelm-7b-chat-32k'
# ziya
ziya2_13b = 'ziya2-13b'
ziya2_13b_chat = 'ziya2-13b-chat'
# skywork
skywork_13b = 'skywork-13b'
skywork_13b_chat = 'skywork-13b-chat'
# zephyr
zephyr_7b_beta_chat = 'zephyr-7b-beta-chat'
# other
polylm_13b = 'polylm-13b'
seqgpt_560m = 'seqgpt-560m'
sus_34b_chat = 'sus-34b-chat'
# tongyi-finance
tongyi_finance_14b = 'tongyi-finance-14b'
tongyi_finance_14b_chat = 'tongyi-finance-14b-chat'
tongyi_finance_14b_chat_int4 = 'tongyi-finance-14b-chat-int4'
# codefuse
codefuse_codellama_34b_chat = 'codefuse-codellama-34b-chat'
codefuse_codegeex2_6b_chat = 'codefuse-codegeex2-6b-chat'
codefuse_qwen_14b_chat = 'codefuse-qwen-14b-chat'
# phi
phi2_3b = 'phi2-3b'
phi3_4b_4k_instruct = 'phi3-4b-4k-instruct'
phi3_4b_128k_instruct = 'phi3-4b-128k-instruct'
phi3_small_8k_instruct = 'phi3-small-8k-instruct'
phi3_medium_4k_instruct = 'phi3-medium-4k-instruct'
phi3_small_128k_instruct = 'phi3-small-128k-instruct'
phi3_medium_128k_instruct = 'phi3-medium-128k-instruct'
phi3_5_mini_instruct = 'phi3_5-mini-instruct'
phi3_5_moe_instruct = 'phi3_5-moe-instruct'
phi3_vision_128k_instruct = 'phi3-vision-128k-instruct'
phi3_5_vision_instruct = 'phi3_5-vision-instruct'
# cogagent
cogvlm_17b_chat = 'cogvlm-17b-chat'
cogvlm2_19b_chat = 'cogvlm2-19b-chat' # chinese
cogvlm2_en_19b_chat = 'cogvlm2-en-19b-chat'
cogvlm2_video_13b_chat = 'cogvlm2-video-13b-chat'
cogagent_18b_chat = 'cogagent-18b-chat'
cogagent_18b_instruct = 'cogagent-18b-instruct'
# molmo
molmoe_1b = 'molmoe-1b'
molmo_7b_o = 'molmo-7b-o'
molmo_7b_d = 'molmo-7b-d'
molmo_72b = 'molmo-72b'
# emu3-chat
emu3_chat = 'emu3-chat'
# mamba
mamba_130m = 'mamba-130m'
mamba_370m = 'mamba-370m'
mamba_390m = 'mamba-390m'
mamba_790m = 'mamba-790m'
mamba_1_4b = 'mamba-1.4b'
mamba_2_8b = 'mamba-2.8b'
# teleAI
telechat_7b = 'telechat-7b'
telechat_12b = 'telechat-12b'
telechat_12b_v2 = 'telechat-12b-v2'
telechat_12b_v2_gptq_int4 = 'telechat-12b-v2-gptq-int4'
telechat2_115b = 'telechat2-115b'
# grok-1
grok_1 = 'grok-1'
# dbrx
dbrx_instruct = 'dbrx-instruct'
dbrx_base = 'dbrx-base'
# mengzi
mengzi3_13b_base = 'mengzi3-13b-base'
# c4ai
c4ai_command_r_v01 = 'c4ai-command-r-v01'
c4ai_command_r_plus = 'c4ai-command-r-plus'
# aya
aya_expanse_8b = 'aya-expanse-8b'
aya_expanse_32b = 'aya-expanse-32b'
# codestral
codestral_22b = 'codestral-22b'
# florence
florence_2_base = 'florence-2-base'
florence_2_base_ft = 'florence-2-base-ft'
florence_2_large = 'florence-2-large'
florence_2_large_ft = 'florence-2-large-ft'
got_ocr2 = 'got-ocr2'
@classmethod
def get_model_name_list(cls) -> List[str]:
res = []
for k in cls.__dict__.keys():
if k.startswith('__') or k == 'get_model_name_list':
continue
res.append(cls.__dict__[k])
return res
class LoRATM(NamedTuple):
# default lora target modules for multi-modals
qwen_audio = 'qwen_audio'
qwen_vl = 'qwen_vl'
qwen2_audio = 'qwen2_audio'
qwen2_vl = 'qwen2_vl'
glm4v = 'glm4v'
llava_next_video = 'llava_next_video'
llava_llama = 'llava_llama'
llava = 'llava'
internlm_xcomposer = ['attention.wqkv', 'attention.wo', 'feed_forward.w1', 'feed_forward.w2', 'feed_forward.w3']
internvl = 'internvl'
deepseek_vl = 'deepseek_vl'
minicpm_v = 'minicpm_v'
phi3v = 'phi3v'
cogvlm = 'cogvlm'
florence = 'florence'
idefics3 = 'idefics3'
mplug_owl3 = 'mplug_owl3'
llama3_1_omni = 'llama3_1_omni'
got_ocr2 = 'got_ocr2'
llama3_2_vision = 'llama3_2_vision'
ovis1_6 = 'ovis1_6'
molmo = 'molmo'
deepseek_janus = 'deepseek_janus'
emu3_chat = 'emu3_chat'
# default lora target modules for nlp llms.
minicpm3 = ['q_a_proj', 'q_b_proj', 'kv_a_proj_with_mqa', 'kv_b_proj']
baichuan = ['W_pack']
chatglm = ['query_key_value']
llama = ['q_proj', 'k_proj', 'v_proj']
qwen = ['c_attn']
polylm = ['c_attn']
bloom = ['query_key_value']
phi = ['Wqkv']
phi3 = ['qkv_proj']
phi3_small = ['query_key_value'] # what the hell???
internlm2 = ['wqkv']
mamba = ['in_proj', 'x_proj', 'embeddings', 'out_proj']
telechat = ['key_value', 'query']
dbrx = ['attn.Wqkv']
mplug_owl2 = [
'q_proj',
'k_proj.multiway.0',
'k_proj.multiway.1',
'v_proj.multiway.0',
'v_proj.multiway.1',
]
mplug_owl2_1 = [
'c_attn.multiway.0',
'c_attn.multiway.1',
]
deepseek2 = [
'q_a_proj',
'q_b_proj',
'kv_a_proj_with_mqa',
'kv_b_proj',
'o_proj',
]
# compat
llama2 = llama
GetModelTokenizerFunction = Callable[..., Tuple[Optional[PreTrainedModel], PreTrainedTokenizerBase]]
def register_model(
model_type: str,
model_id_or_path: Optional[str],
lora_target_modules: Optional[Union[List[str], str]] = None,
template: str = TemplateType.default,
get_function: Optional[GetModelTokenizerFunction] = None,
*,
requires: Optional[List[str]] = None,
torch_dtype: Optional[torch.dtype] = None,
hf_model_id: Optional[str] = None,
revision: Optional[str] = None, # only modelscope
ignore_file_pattern: Optional[List[str]] = None,
function_kwargs: Optional[Dict[str, Any]] = None,
exist_ok: bool = False,
eos_token: Union[str, int, None] = None,
**kwargs) -> Optional[Callable[[GetModelTokenizerFunction], GetModelTokenizerFunction]]:
if not exist_ok and model_type in MODEL_MAPPING:
raise ValueError(f'The `{model_type}` has already been registered in the MODEL_MAPPING.')
if requires is None:
requires = []
if function_kwargs is None:
function_kwargs = {}
if revision is None:
revision = 'master'
model_info = {
'model_id_or_path': model_id_or_path,
'lora_target_modules': lora_target_modules,
'template': template,
'requires': requires,
'torch_dtype': torch_dtype,
'ignore_file_pattern': ignore_file_pattern,
'hf_model_id': hf_model_id,
'revision': revision,
'eos_token': eos_token,
**kwargs
}
if get_function is not None:
if len(function_kwargs) > 0:
get_function = partial(get_function, **function_kwargs)
model_info['get_function'] = get_function
MODEL_MAPPING[model_type] = model_info
return
def _register_model(get_function: GetModelTokenizerFunction) -> GetModelTokenizerFunction:
_old_get_function = get_function
if len(function_kwargs) > 0:
get_function = partial(get_function, **function_kwargs)
model_info['get_function'] = get_function
MODEL_MAPPING[model_type] = model_info
return _old_get_function
return _register_model
def _check_awq_ext() -> None:
try:
from awq.utils.packing_utils import dequantize_gemm
import awq_ext # with CUDA kernels (AutoAWQ_kernels)
except ImportError as e:
raise ImportError('You are training awq models, remember installing awq_ext by '
'`git clone https://github.com/casper-hansen/AutoAWQ_kernels '
'&& cd AutoAWQ_kernels && pip install -e .`') from e
def _check_gptq_model(bits: int, model_config, model_kwargs: Dict[str, Any]) -> None:
assert model_kwargs.get('quantization_config') is None
if bits == 0:
bits = model_config.quantization_config['bits']
if version.parse(transformers.__version__) >= version.parse('4.35'):
model_kwargs['quantization_config'] = GPTQConfig(bits=bits, use_exllama=False)
else:
model_kwargs['quantization_config'] = GPTQConfig(bits=bits, disable_exllama=True)
# fix quantlinear bug
from auto_gptq.nn_modules.qlinear.qlinear_cuda_old import QuantLinear
__old_forward = QuantLinear.forward
def _new_forward(self, x):
if not self.training or not self.autogptq_cuda_available:
return self.__old_forward(x)
# fix sft no grad
self.autogptq_cuda_available = False
res = self.__old_forward(x)
self.autogptq_cuda_available = True
return res
if not hasattr(QuantLinear, '__old_forward'): # avoid double patching
QuantLinear.__old_forward = __old_forward
QuantLinear.forward = _new_forward
@register_model(
ModelType.internlm_20b,
'Shanghai_AI_Laboratory/internlm-20b',
LoRATM.llama,
TemplateType.default_generation,
support_vllm=True,
support_lmdeploy=True,
hf_model_id='internlm/internlm-20b')
@register_model(
ModelType.internlm_7b,
'Shanghai_AI_Laboratory/internlm-7b',
LoRATM.llama,
TemplateType.default_generation,
support_vllm=True,
support_lmdeploy=True,
hf_model_id='internlm/internlm-7b')
@register_model(
ModelType.bluelm_7b_chat_32k,
'vivo-ai/BlueLM-7B-Chat-32K',
LoRATM.llama,
TemplateType.bluelm,
hf_model_id='vivo-ai/BlueLM-7B-Chat-32K')
@register_model(
ModelType.bluelm_7b_chat,
'vivo-ai/BlueLM-7B-Chat',
LoRATM.llama,
TemplateType.bluelm,
hf_model_id='vivo-ai/BlueLM-7B-Chat')
@register_model(
ModelType.bluelm_7b_32k,
'vivo-ai/BlueLM-7B-Base-32K',
LoRATM.llama,
TemplateType.default_generation,
hf_model_id='vivo-ai/BlueLM-7B-Base-32K')
@register_model(
ModelType.bluelm_7b,
'vivo-ai/BlueLM-7B-Base',
LoRATM.llama,
TemplateType.default_generation,
hf_model_id='vivo-ai/BlueLM-7B-Base')
@register_model(
ModelType.seqgpt_560m,
'damo/nlp_seqgpt-560m',
LoRATM.bloom,
TemplateType.default_generation,
support_vllm=True,
hf_model_id='DAMO-NLP/SeqGPT-560M')
@register_model(
ModelType.xverse_13b_chat,
'xverse/XVERSE-13B-Chat',
LoRATM.llama,
TemplateType.xverse,
support_vllm=True,
hf_model_id='xverse/XVERSE-13B-Chat')
@register_model(
ModelType.xverse_13b,
'xverse/XVERSE-13B',
LoRATM.llama,
TemplateType.default_generation,
support_vllm=True,
hf_model_id='xverse/XVERSE-13B')
@register_model(
ModelType.xverse_65b,
'xverse/XVERSE-65B',
LoRATM.llama,
TemplateType.default_generation,
support_vllm=True,
hf_model_id='xverse/XVERSE-65B')
@register_model(
ModelType.xverse_65b_v2,
'xverse/XVERSE-65B-2',
LoRATM.llama,
TemplateType.default_generation,
support_vllm=True,
hf_model_id='xverse/XVERSE-65B-2')
@register_model(
ModelType.xverse_65b_chat,
'xverse/XVERSE-65B-Chat',
LoRATM.llama,
TemplateType.xverse,
support_vllm=True,
hf_model_id='xverse/XVERSE-65B-Chat')
@register_model(
ModelType.xverse_13b_256k,
'xverse/XVERSE-13B-256K',
LoRATM.llama,
TemplateType.default_generation,
revision='v1.0.0',
support_vllm=True,
hf_model_id='xverse/XVERSE-13B-256K')
@register_model(
ModelType.xverse_7b_chat,
'xverse/XVERSE-7B-Chat',
LoRATM.llama,
TemplateType.xverse,
support_vllm=True,
hf_model_id='xverse/XVERSE-7B-Chat')
@register_model(
ModelType.xverse_7b,
'xverse/XVERSE-7B',
LoRATM.llama,
TemplateType.default_generation,
support_vllm=True,
hf_model_id='xverse/XVERSE-7B')
@register_model(
ModelType.xverse_moe_a4_2b,
'xverse/XVERSE-MoE-A4.2B',
LoRATM.llama,
TemplateType.default_generation,
tags=['moe'],
hf_model_id='xverse/XVERSE-MoE-A4.2B')
@register_model(
ModelType.baichuan_13b_chat,
'baichuan-inc/Baichuan-13B-Chat',
LoRATM.baichuan,
TemplateType.baichuan,
requires=['transformers<4.34'],
support_vllm=True,
support_lmdeploy=True,
hf_model_id='baichuan-inc/Baichuan-13B-Chat')
@register_model(
ModelType.baichuan_7b,
'baichuan-inc/baichuan-7B',
LoRATM.baichuan,
TemplateType.default_generation,
requires=['transformers<4.34'],
support_vllm=True,
support_lmdeploy=True,
hf_model_id='baichuan-inc/Baichuan-7B')
@register_model(
ModelType.c4ai_command_r_v01,
'AI-ModelScope/c4ai-command-r-v01',
LoRATM.llama,
TemplateType.c4ai,
requires=['transformers>=4.39.1'],
support_vllm=True,
support_flash_attn=True,
hf_model_id='CohereForAI/c4ai-command-r-v01')
@register_model(
ModelType.c4ai_command_r_plus,
'AI-ModelScope/c4ai-command-r-plus',
LoRATM.llama,
TemplateType.c4ai,
requires=['transformers>4.39'],
support_vllm=True,
support_flash_attn=True,
hf_model_id='CohereForAI/c4ai-command-r-plus')
@register_model(
ModelType.aya_expanse_8b,
'AI-ModelScope/aya-expanse-8b',
LoRATM.llama,
TemplateType.aya,
requires=['transformers>=4.44.0'],
support_vllm=True,
support_flash_attn=True,
hf_model_id='CohereForAI/aya-expanse-8b')
@register_model(
ModelType.aya_expanse_32b,
'AI-ModelScope/aya-expanse-32b',