solar-merge-v1.0 是一个混合专家模型（Mixture of Experts, MoE），它通过 LazyMergekit 工具，融合了以下模型构建而成：
base_model: upstage/SOLAR-10.7B-v1.0
dtype: float16
experts:
- source_model: upstage/SOLAR-10.7B-Instruct-v1.0
positive_prompts: ["당신은 친절한 보편적인 어시스턴트이다."]
- source_model: heavytail/kullm-solar
positive_prompts: ["당신은 친절한 어시스턴트이다."]
gate_mode: cheap_embed
tokenizer_source: base!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "jieunhan/solar-merge-v1.0"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])