feat(model): Support Qwen2MoE (#1439)

Co-authored-by: Fangyin Cheng <staneyffer@gmail.com>
This commit is contained in:
yyhhyy
2024-04-20 21:03:10 +08:00
committed by GitHub
parent 82e4ce4c43
commit dce03862d5
4 changed files with 32 additions and 0 deletions

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@@ -158,6 +158,7 @@ At present, we have introduced several key features to showcase our current capa
We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more. We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more.
- News - News
- 🔥🔥🔥 [Qwen1.5-MoE-A2.7B-Chat](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat)
- 🔥🔥🔥 [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) - 🔥🔥🔥 [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
- 🔥🔥🔥 [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) - 🔥🔥🔥 [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
- 🔥🔥🔥 [CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) - 🔥🔥🔥 [CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat)

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@@ -152,6 +152,7 @@
海量模型支持包括开源、API代理等几十种大语言模型。如LLaMA/LLaMA2、Baichuan、ChatGLM、文心、通义、智谱等。当前已支持如下模型: 海量模型支持包括开源、API代理等几十种大语言模型。如LLaMA/LLaMA2、Baichuan、ChatGLM、文心、通义、智谱等。当前已支持如下模型:
- 新增支持模型 - 新增支持模型
- 🔥🔥🔥 [Qwen1.5-MoE-A2.7B-Chat](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat)
- 🔥🔥🔥 [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) - 🔥🔥🔥 [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
- 🔥🔥🔥 [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) - 🔥🔥🔥 [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
- 🔥🔥🔥 [CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) - 🔥🔥🔥 [CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat)

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@@ -114,6 +114,8 @@ LLM_MODEL_CONFIG = {
"qwen1.5-72b-chat": os.path.join(MODEL_PATH, "Qwen1.5-72B-Chat"), "qwen1.5-72b-chat": os.path.join(MODEL_PATH, "Qwen1.5-72B-Chat"),
# https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat # https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat
"codeqwen1.5-7b-chat": os.path.join(MODEL_PATH, "CodeQwen1.5-7B-Chat"), "codeqwen1.5-7b-chat": os.path.join(MODEL_PATH, "CodeQwen1.5-7B-Chat"),
# https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat
"qwen1.5-moe-a2.7b-chat": os.path.join(MODEL_PATH, "Qwen1.5-MoE-A2.7B-Chat"),
# (Llama2 based) We only support WizardLM-13B-V1.2 for now, which is trained from Llama-2 13b, see https://huggingface.co/WizardLM/WizardLM-13B-V1.2 # (Llama2 based) We only support WizardLM-13B-V1.2 for now, which is trained from Llama-2 13b, see https://huggingface.co/WizardLM/WizardLM-13B-V1.2
"wizardlm-13b": os.path.join(MODEL_PATH, "WizardLM-13B-V1.2"), "wizardlm-13b": os.path.join(MODEL_PATH, "WizardLM-13B-V1.2"),
# wget https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf -O models/ggml-model-q4_0.gguf # wget https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf -O models/ggml-model-q4_0.gguf

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@@ -267,6 +267,33 @@ class QwenAdapter(NewHFChatModelAdapter):
lower_model_name_or_path lower_model_name_or_path
and "qwen" in lower_model_name_or_path and "qwen" in lower_model_name_or_path
and "1.5" in lower_model_name_or_path and "1.5" in lower_model_name_or_path
and "moe" not in lower_model_name_or_path
)
class QwenMoeAdapter(NewHFChatModelAdapter):
"""
https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B
TODO: There are problems with quantization.
"""
support_4bit: bool = False
support_8bit: bool = False
def check_transformer_version(self, current_version: str) -> None:
print(f"Checking version: Current version {current_version}")
if not current_version >= "4.40.0":
raise ValueError(
"Qwen 1.5 Moe require transformers.__version__>=4.40.0, please upgrade your transformers package."
)
def do_match(self, lower_model_name_or_path: Optional[str] = None):
return (
lower_model_name_or_path
and "qwen" in lower_model_name_or_path
and "1.5" in lower_model_name_or_path
and "moe" in lower_model_name_or_path
) )
@@ -314,4 +341,5 @@ register_model_adapter(SOLARAdapter)
register_model_adapter(GemmaAdapter) register_model_adapter(GemmaAdapter)
register_model_adapter(StarlingLMAdapter) register_model_adapter(StarlingLMAdapter)
register_model_adapter(QwenAdapter) register_model_adapter(QwenAdapter)
register_model_adapter(QwenMoeAdapter)
register_model_adapter(Llama3Adapter) register_model_adapter(Llama3Adapter)