jieunhan/solar_merge_test_3

solar_merge_test_1

🧩 Configuration

base_model: yanolja/KoSOLAR-10.7B-v0.2
dtype: float16
experts:
  - source_model: yanolja/KoSOLAR-10.7B-v0.2
    positive_prompts: ["당신은 사람들에게 도움을 주는 어시스턴트이다."]
  - source_model: yanolja/Bookworm-10.7B-v0.4-DPO
    positive_prompts: ["당신은 다방면으로 답변을 잘하는 어시스턴트이다."]
gate_mode: cheap_embed
tokenizer_source: base

💻 Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jieunhan/solar_merge_test_3"

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"])