mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-08-04 04:32:50 +08:00
refactor constants
Former-commit-id: 3697a3dc9a0be8141951dfe65812844f66059517
This commit is contained in:
hiyouga
parent
6ee32cf71c
commit
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@ -57,7 +57,7 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/6ba60acc-e2e2-4bec-b846
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| [BLOOM](https://huggingface.co/bigscience/bloom) | 560M/1.1B/1.7B/3B/7.1B/176B | query_key_value | - |
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| [BLOOMZ](https://huggingface.co/bigscience/bloomz) | 560M/1.1B/1.7B/3B/7.1B/176B | query_key_value | - |
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| [ChatGLM3](https://github.com/THUDM/ChatGLM3) | 6B | query_key_value | chatglm3 |
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| [Falcon](https://huggingface.co/tiiuae/falcon-7b) | 7B/40B/180B | query_key_value | - |
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| [Falcon](https://huggingface.co/tiiuae/falcon-7b) | 7B/40B/180B | query_key_value | falcon |
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| [InternLM](https://github.com/InternLM/InternLM) | 7B/20B | q_proj,v_proj | intern |
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| [LLaMA](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | q_proj,v_proj | - |
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| [LLaMA-2](https://huggingface.co/meta-llama) | 7B/13B/70B | q_proj,v_proj | llama2 |
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@ -57,7 +57,7 @@ https://github.com/hiyouga/LLaMA-Factory/assets/16256802/6ba60acc-e2e2-4bec-b846
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| [BLOOM](https://huggingface.co/bigscience/bloom) | 560M/1.1B/1.7B/3B/7.1B/176B | query_key_value | - |
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| [BLOOMZ](https://huggingface.co/bigscience/bloomz) | 560M/1.1B/1.7B/3B/7.1B/176B | query_key_value | - |
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| [ChatGLM3](https://github.com/THUDM/ChatGLM3) | 6B | query_key_value | chatglm3 |
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| [Falcon](https://huggingface.co/tiiuae/falcon-7b) | 7B/40B/180B | query_key_value | - |
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| [Falcon](https://huggingface.co/tiiuae/falcon-7b) | 7B/40B/180B | query_key_value | falcon |
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| [InternLM](https://github.com/InternLM/InternLM) | 7B/20B | q_proj,v_proj | intern |
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| [LLaMA](https://github.com/facebookresearch/llama) | 7B/13B/33B/65B | q_proj,v_proj | - |
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| [LLaMA-2](https://huggingface.co/meta-llama) | 7B/13B/70B | q_proj,v_proj | llama2 |
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@ -1,9 +1,11 @@
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from collections import defaultdict, OrderedDict
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from typing import Dict, Optional
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IGNORE_INDEX = -100
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LOG_FILE_NAME = "trainer_log.jsonl"
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LAYERNORM_NAMES = ["norm", "ln_f", "ln_attn", "ln_mlp", "ln_1", "ln_2", "ln1", "ln2"]
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METHODS = ["full", "freeze", "lora"]
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TRAINING_STAGES = {
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@ -14,79 +16,214 @@ TRAINING_STAGES = {
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"Pre-Training": "pt"
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}
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SUPPORTED_MODELS = {
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"LLaMA-7B": "huggyllama/llama-7b",
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"LLaMA-13B": "huggyllama/llama-13b",
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"LLaMA-30B": "huggyllama/llama-30b",
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"LLaMA-65B": "huggyllama/llama-65b",
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"LLaMA2-7B": "meta-llama/Llama-2-7b-hf",
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"LLaMA2-13B": "meta-llama/Llama-2-13b-hf",
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"LLaMA2-70B": "meta-llama/Llama-2-70b-hf",
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"LLaMA2-7B-Chat": "meta-llama/Llama-2-7b-chat-hf",
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"LLaMA2-13B-Chat": "meta-llama/Llama-2-13b-chat-hf",
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"LLaMA2-70B-Chat": "meta-llama/Llama-2-70b-chat-hf",
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"ChineseLLaMA2-7B": "ziqingyang/chinese-llama-2-7b",
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"ChineseLLaMA2-13B": "ziqingyang/chinese-llama-2-13b",
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"ChineseLLaMA2-7B-Chat": "ziqingyang/chinese-alpaca-2-7b",
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"ChineseLLaMA2-13B-Chat": "ziqingyang/chinese-alpaca-2-13b",
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"BLOOM-560M": "bigscience/bloom-560m",
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"BLOOM-3B": "bigscience/bloom-3b",
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"BLOOM-7B1": "bigscience/bloom-7b1",
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"BLOOMZ-560M": "bigscience/bloomz-560m",
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"BLOOMZ-3B": "bigscience/bloomz-3b",
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"BLOOMZ-7B1-mt": "bigscience/bloomz-7b1-mt",
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"Falcon-7B": "tiiuae/falcon-7b",
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"Falcon-40B": "tiiuae/falcon-40b",
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"Falcon-7B-Chat": "tiiuae/falcon-7b-instruct",
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"Falcon-40B-Chat": "tiiuae/falcon-40b-instruct",
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"Baichuan-7B": "baichuan-inc/Baichuan-7B",
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"Baichuan-13B": "baichuan-inc/Baichuan-13B-Base",
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"Baichuan-13B-Chat": "baichuan-inc/Baichuan-13B-Chat",
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"Baichuan2-7B": "baichuan-inc/Baichuan2-7B-Base",
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"Baichuan2-13B": "baichuan-inc/Baichuan2-13B-Base",
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"Baichuan2-7B-Chat": "baichuan-inc/Baichuan2-7B-Chat",
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"Baichuan2-13B-Chat": "baichuan-inc/Baichuan2-13B-Chat",
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"InternLM-7B": "internlm/internlm-7b",
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"InternLM-20B": "internlm/internlm-20b",
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"InternLM-7B-Chat": "internlm/internlm-chat-7b",
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"InternLM-20B-Chat": "internlm/internlm-chat-20b",
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"Qwen-7B": "Qwen/Qwen-7B",
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"Qwen-14B": "Qwen/Qwen-14B",
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"Qwen-7B-Chat": "Qwen/Qwen-7B-Chat",
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"Qwen-14B-Chat": "Qwen/Qwen-14B-Chat",
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"XVERSE-13B": "xverse/XVERSE-13B",
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"XVERSE-13B-Chat": "xverse/XVERSE-13B-Chat",
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"ChatGLM2-6B-Chat": "THUDM/chatglm2-6b",
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"ChatGLM3-6B-Base": "THUDM/chatglm3-6b-base",
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"ChatGLM3-6B-Chat": "THUDM/chatglm3-6b",
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"Phi1.5-1.3B": "microsoft/phi-1_5"
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}
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LAYERNORM_NAMES = {"norm", "ln"}
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DEFAULT_MODULE = {
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"LLaMA": "q_proj,v_proj",
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"LLaMA2": "q_proj,v_proj",
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"ChineseLLaMA2": "q_proj,v_proj",
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"BLOOM": "query_key_value",
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"BLOOMZ": "query_key_value",
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"Falcon": "query_key_value",
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"Baichuan": "W_pack",
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"Baichuan2": "W_pack",
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"InternLM": "q_proj,v_proj",
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"Qwen": "c_attn",
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"XVERSE": "q_proj,v_proj",
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"ChatGLM2": "query_key_value",
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"ChatGLM3": "query_key_value",
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"Phi1.5": "Wqkv"
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}
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SUPPORTED_MODELS = OrderedDict()
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DEFAULT_TEMPLATE = {
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"LLaMA2": "llama2",
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"ChineseLLaMA2": "llama2_zh",
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"Baichuan": "baichuan",
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"Baichuan2": "baichuan2",
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"InternLM": "intern",
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"Qwen": "chatml",
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"XVERSE": "xverse",
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"ChatGLM2": "chatglm2",
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"ChatGLM3": "chatglm3"
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}
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DEFAULT_MODULE = defaultdict(str)
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DEFAULT_TEMPLATE = defaultdict(str)
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def register_model_group(
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models: Dict[str, str],
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module: Optional[str] = None,
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template: Optional[str] = None
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) -> None:
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prefix = None
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for name, path in models.items():
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if prefix is None:
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prefix = name.split("-")[0]
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else:
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assert prefix == name.split("-")[0], "prefix should be identical."
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SUPPORTED_MODELS[name] = path
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if module is not None:
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DEFAULT_MODULE[prefix] = module
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if template is not None:
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DEFAULT_TEMPLATE[prefix] = template
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register_model_group(
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models={
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"Baichuan-7B-Base": "baichuan-inc/Baichuan-7B",
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"Baichuan-13B-Base": "baichuan-inc/Baichuan-13B-Base",
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"Baichuan-13B-Chat": "baichuan-inc/Baichuan-13B-Chat"
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},
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module="W_pack",
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template="baichuan"
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)
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register_model_group(
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models={
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"Baichuan2-7B-Base": "baichuan-inc/Baichuan2-7B-Base",
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"Baichuan2-13B-Base": "baichuan-inc/Baichuan2-13B-Base",
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"Baichuan2-7B-Chat": "baichuan-inc/Baichuan2-7B-Chat",
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"Baichuan2-13B-Chat": "baichuan-inc/Baichuan2-13B-Chat"
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},
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module="W_pack",
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template="baichuan2"
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)
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register_model_group(
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models={
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"BLOOM-560M": "bigscience/bloom-560m",
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"BLOOM-3B": "bigscience/bloom-3b",
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"BLOOM-7B1": "bigscience/bloom-7b1"
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},
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module="query_key_value"
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)
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register_model_group(
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models={
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"BLOOMZ-560M": "bigscience/bloomz-560m",
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"BLOOMZ-3B": "bigscience/bloomz-3b",
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"BLOOMZ-7B1-mt": "bigscience/bloomz-7b1-mt"
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},
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module="query_key_value"
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)
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register_model_group(
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models={
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"BlueLM-7B-Base": "vivo-ai/BlueLM-7B-Base",
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"BlueLM-7B-Chat": "vivo-ai/BlueLM-7B-Chat"
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},
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template="bluelm"
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)
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register_model_group(
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models={
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"ChatGLM2-6B-Chat": "THUDM/chatglm2-6b"
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},
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module="query_key_value",
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template="chatglm2"
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)
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register_model_group(
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models={
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"ChatGLM3-6B-Base": "THUDM/chatglm3-6b-base",
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"ChatGLM3-6B-Chat": "THUDM/chatglm3-6b"
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},
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module="query_key_value",
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template="chatglm3"
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)
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register_model_group(
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models={
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"ChineseLLaMA2-7B": "ziqingyang/chinese-llama-2-7b",
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"ChineseLLaMA2-13B": "ziqingyang/chinese-llama-2-13b",
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"ChineseLLaMA2-7B-Chat": "ziqingyang/chinese-alpaca-2-7b",
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"ChineseLLaMA2-13B-Chat": "ziqingyang/chinese-alpaca-2-13b"
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},
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template="llama2_zh"
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)
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register_model_group(
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models={
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"Falcon-7B": "tiiuae/falcon-7b",
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"Falcon-40B": "tiiuae/falcon-40b",
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"Falcon-180B": "tiiuae/falcon-180B",
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"Falcon-7B-Chat": "tiiuae/falcon-7b-instruct",
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"Falcon-40B-Chat": "tiiuae/falcon-40b-instruct",
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"Falcon-180B-Chat": "tiiuae/falcon-180B-chat"
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},
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module="query_key_value",
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template="falcon"
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)
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register_model_group(
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models={
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"InternLM-7B": "internlm/internlm-7b",
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"InternLM-20B": "internlm/internlm-20b",
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"InternLM-7B-Chat": "internlm/internlm-chat-7b",
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"InternLM-20B-Chat": "internlm/internlm-chat-20b"
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},
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template="intern"
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)
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register_model_group(
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models={
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"LLaMA-7B": "huggyllama/llama-7b",
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"LLaMA-13B": "huggyllama/llama-13b",
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"LLaMA-30B": "huggyllama/llama-30b",
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"LLaMA-65B": "huggyllama/llama-65b"
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}
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)
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register_model_group(
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models={
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"LLaMA2-7B": "meta-llama/Llama-2-7b-hf",
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"LLaMA2-13B": "meta-llama/Llama-2-13b-hf",
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"LLaMA2-70B": "meta-llama/Llama-2-70b-hf",
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"LLaMA2-7B-Chat": "meta-llama/Llama-2-7b-chat-hf",
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"LLaMA2-13B-Chat": "meta-llama/Llama-2-13b-chat-hf",
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"LLaMA2-70B-Chat": "meta-llama/Llama-2-70b-chat-hf"
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},
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template="llama2"
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)
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register_model_group(
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models={
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"Mistral-7B": "mistralai/Mistral-7B-v0.1",
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"Mistral-7B-Chat": "mistralai/Mistral-7B-Instruct-v0.1"
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},
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template="mistral"
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)
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register_model_group(
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models={
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"Phi1.5-1.3B": "microsoft/phi-1_5"
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},
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module="Wqkv"
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)
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register_model_group(
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models={
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"Qwen-7B": "Qwen/Qwen-7B",
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"Qwen-14B": "Qwen/Qwen-14B",
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"Qwen-7B-Chat": "Qwen/Qwen-7B-Chat",
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"Qwen-14B-Chat": "Qwen/Qwen-14B-Chat"
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},
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module="c_attn",
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template="qwen"
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)
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register_model_group(
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models={
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"Skywork-13B-Base": "Skywork/Skywork-13B-base"
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}
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)
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register_model_group(
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models={
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"XVERSE-7B": "xverse/XVERSE-7B",
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"XVERSE-13B": "xverse/XVERSE-13B",
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"XVERSE-65B": "xverse/XVERSE-65B",
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"XVERSE-7B-Chat": "xverse/XVERSE-7B-Chat",
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"XVERSE-13B-Chat": "xverse/XVERSE-13B-Chat"
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},
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template="xverse"
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)
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register_model_group(
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models={
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"Yi-6B": "01-ai/Yi-6B",
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"Yi-34B": "01-ai/Yi-34B"
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}
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)
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@ -447,6 +447,25 @@ register_template(
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)
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r"""
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Supports: https://huggingface.co/tiiuae/falcon-180B-chat
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"""
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register_template(
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name="falcon",
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prefix=[
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"{{system}}"
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],
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prompt=[
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"User: {{query}}\nFalcon:"
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],
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system="",
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sep=[
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"\n"
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],
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efficient_eos=True
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)
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r"""
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Supports: https://huggingface.co/internlm/internlm-chat-7b
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https://huggingface.co/internlm/internlm-chat-20b
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@ -1,5 +1,5 @@
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import torch
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple
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from llmtuner.extras.constants import LAYERNORM_NAMES
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from llmtuner.extras.logging import get_logger
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@ -56,7 +56,7 @@ def prepare_model_for_training(
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finetuning_args: "FinetuningArguments",
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output_layer_name: Optional[str] = "lm_head",
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use_gradient_checkpointing: Optional[bool] = True,
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layernorm_names: Optional[List[str]] = LAYERNORM_NAMES
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layernorm_names: Optional[Set[str]] = LAYERNORM_NAMES
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) -> "PreTrainedModel":
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r"""
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Includes:
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@ -61,13 +61,17 @@ def get_model_path(model_name: str) -> str:
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return user_config["path_dict"].get(model_name, None) or SUPPORTED_MODELS.get(model_name, "")
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def get_prefix(model_name: str) -> str:
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return model_name.split("-")[0]
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def get_module(model_name: str) -> str:
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return DEFAULT_MODULE.get(model_name.split("-")[0], "q_proj,v_proj")
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return DEFAULT_MODULE.get(get_prefix(model_name), "q_proj,v_proj")
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def get_template(model_name: str) -> str:
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if model_name.endswith("Chat") and model_name.split("-")[0] in DEFAULT_TEMPLATE:
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return DEFAULT_TEMPLATE[model_name.split("-")[0]]
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if model_name.endswith("Chat") and get_prefix(model_name) in DEFAULT_TEMPLATE:
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return DEFAULT_TEMPLATE[get_prefix(model_name)]
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return "default"
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