wehub-resource-sync
64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
# Copyright (c) ModelScope Contributors. All rights reserved.
|
|
from transformers import AutoTokenizer, PretrainedConfig
|
|
|
|
from swift.template import TemplateType
|
|
from swift.utils import Processor
|
|
from ..constant import LLMModelType
|
|
from ..model_arch import ModelArch
|
|
from ..model_meta import Model, ModelGroup, ModelMeta
|
|
from ..register import ModelLoader, register_model
|
|
from .glm import ChatGLMLoader
|
|
from .qwen import QwenLoader
|
|
|
|
register_model(
|
|
ModelMeta(
|
|
LLMModelType.codefuse_qwen, [
|
|
ModelGroup([
|
|
Model('codefuse-ai/CodeFuse-QWen-14B', 'codefuse-ai/CodeFuse-QWen-14B'),
|
|
]),
|
|
],
|
|
QwenLoader,
|
|
template=TemplateType.codefuse,
|
|
architectures=['QWenLMHeadModel'],
|
|
model_arch=ModelArch.qwen,
|
|
tags=['coding']))
|
|
|
|
register_model(
|
|
ModelMeta(
|
|
LLMModelType.codefuse_codegeex2,
|
|
[
|
|
ModelGroup([Model('codefuse-ai/CodeFuse-CodeGeeX2-6B', 'codefuse-ai/CodeFuse-CodeGeeX2-6B')], ),
|
|
],
|
|
ChatGLMLoader,
|
|
template=TemplateType.codefuse,
|
|
architectures=['ChatGLMModel', 'ChatGLMForConditionalGeneration'],
|
|
model_arch=ModelArch.chatglm,
|
|
tags=['coding'],
|
|
requires=['transformers<4.34'],
|
|
))
|
|
|
|
|
|
class CodeLlamaLoader(ModelLoader):
|
|
|
|
def get_processor(self, model_dir: str, config: PretrainedConfig) -> Processor:
|
|
return AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True, use_fast=False, legacy=False)
|
|
|
|
|
|
register_model(
|
|
ModelMeta(
|
|
LLMModelType.codefuse_codellama,
|
|
[
|
|
ModelGroup(
|
|
[
|
|
Model('codefuse-ai/CodeFuse-CodeLlama-34B', 'codefuse-ai/CodeFuse-CodeLlama-34B'),
|
|
],
|
|
tags=['coding'],
|
|
),
|
|
],
|
|
CodeLlamaLoader,
|
|
template=TemplateType.codefuse_codellama,
|
|
model_arch=ModelArch.llama,
|
|
mcore_model_type='gpt',
|
|
architectures=['LlamaForCausalLM'],
|
|
))
|